hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e05b4419b9e076c63a008102028b3f667fc31382
| 1,034
|
py
|
Python
|
train_and_test.py
|
esnet/hps-rl
|
8426652e622394a955a44c42201e2204f6bfa0f2
|
[
"BSD-3-Clause-LBNL"
] | null | null | null |
train_and_test.py
|
esnet/hps-rl
|
8426652e622394a955a44c42201e2204f6bfa0f2
|
[
"BSD-3-Clause-LBNL"
] | null | null | null |
train_and_test.py
|
esnet/hps-rl
|
8426652e622394a955a44c42201e2204f6bfa0f2
|
[
"BSD-3-Clause-LBNL"
] | null | null | null |
from Steed.gymlabs.envs.cartpole_env import CartPoleEnv
import Steed.simulation.rl_train_ddpg as ddpg
import Steed.simulation.rl_play_ddpg as playddpg
import Steed.simulation.rl_train_a2c as a2c
import Steed.simulation.rl_play_a2c as playa2c
import Steed.simulation.rl_play_aktr as playaktr
import Steed.simulation.rl_train_aktr as aktr
import Steed.simulation.rl_play_trpo as playtrpo
import Steed.simulation.rl_train_trpo as trpo
import torch
import numpy as np
from geneticalgorithm import geneticalgorithm as ga
CUDA=False
device = torch.device("cuda" if CUDA else "cpu")
##### Environment calling
env = CartPoleEnv()
test_env = CartPoleEnv()
##########################HPO#########################################
ddpg.run_ddpq("Discrete",env,test_env,1,[400,300],device) #test for dynamic model
playddpg.run_ddpg("Discrete",env,device)
# aktr.run_aktr("Discrete",env,test_env,device)
# playaktr.run_aktr("Discrete",env,device)
# trpo.run_trpo("Discrete",env,test_env,device)
# playtrpo.run_trpo("Discrete",env,test_env,device)
| 38.296296
| 81
| 0.764023
| 153
| 1,034
| 4.980392
| 0.294118
| 0.115486
| 0.220472
| 0.24147
| 0.401575
| 0.081365
| 0.081365
| 0
| 0
| 0
| 0
| 0.011555
| 0.079304
| 1,034
| 27
| 82
| 38.296296
| 0.788866
| 0.219536
| 0
| 0
| 0
| 0
| 0.031507
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
0eb37b96d5c71c02cb41c6c27c80736e5acaeb05
| 186
|
py
|
Python
|
tests/test_application/conftest.py
|
linkdd/triotp
|
7726438da36255c983d999490109f104655fb3fe
|
[
"MIT"
] | 4
|
2021-11-26T21:39:17.000Z
|
2022-03-04T09:32:07.000Z
|
tests/test_application/conftest.py
|
linkdd/triotp
|
7726438da36255c983d999490109f104655fb3fe
|
[
"MIT"
] | 1
|
2021-11-30T20:28:10.000Z
|
2021-12-01T01:03:28.000Z
|
tests/test_application/conftest.py
|
linkdd/triotp
|
7726438da36255c983d999490109f104655fb3fe
|
[
"MIT"
] | null | null | null |
import pytest
import trio
class SampleData:
def __init__(self):
self.count = 0
self.stop = trio.Event()
@pytest.fixture
def test_data():
return SampleData()
| 12.4
| 32
| 0.645161
| 23
| 186
| 5
| 0.695652
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007246
| 0.258065
| 186
| 14
| 33
| 13.285714
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.222222
| 0.111111
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
0ecf6927c6d00097b9ae0b12b95395620d0093aa
| 4,105
|
py
|
Python
|
visitor.py
|
abusalimov/mk-sh-wrapper
|
a743dbf1cfc82d10da5dabae16c9ffaaee2cbd4a
|
[
"MIT"
] | 1
|
2020-01-24T13:15:52.000Z
|
2020-01-24T13:15:52.000Z
|
visitor.py
|
abusalimov/mk-sh-wrapper
|
a743dbf1cfc82d10da5dabae16c9ffaaee2cbd4a
|
[
"MIT"
] | null | null | null |
visitor.py
|
abusalimov/mk-sh-wrapper
|
a743dbf1cfc82d10da5dabae16c9ffaaee2cbd4a
|
[
"MIT"
] | null | null | null |
from bashlex.ast import node
class NodeVisitor:
def _visit(self, n, *args, **kwargs):
method_name = 'visit_' + n.kind
visitor = getattr(self, method_name)
return visitor(n, *args, **kwargs)
def _visit_children(self, *children):
if len(children) == 1:
return self.visit(children[0])
for n in children:
self.visit(n)
def _visit_parts(self, parts):
return [self.visit(part) for part in parts]
def visit(self, n, **kwargs):
if isinstance(n, list):
return self._visit_children(*n, **kwargs)
if not isinstance(n, node):
return n
k = n.kind
if k == 'operator':
return self._visit(n, n.op, **kwargs)
if k == 'list':
return self._visit(n, n.parts, **kwargs)
if k == 'reservedword':
return self._visit(n, n.word, **kwargs)
if k == 'pipe':
return self._visit(n, n.pipe, **kwargs)
if k == 'pipeline':
return self._visit(n, n.parts, **kwargs)
if k == 'compound':
return self._visit(n, n.list, n.redirects, **kwargs)
if k in ('if', 'for', 'while', 'until'):
return self._visit(n, n.parts, **kwargs)
if k == 'command':
return self._visit(n, n.parts, **kwargs)
if k == 'function':
return self._visit(n, n.name, n.body, n.parts, **kwargs)
if k == 'redirect':
return self._visit(n, n.input, n.type, n.output, n.heredoc, **kwargs)
if k in ('word', 'assignment'):
return self._visit(n, n.word, **kwargs)
if k == 'wordtext':
return self._visit(n, n.text, **kwargs)
if k in ('parameter', 'tilde', 'heredoc'):
return self._visit(n, n.value, **kwargs)
if k in ('commandsubstitution', 'processsubstitution'):
return self._visit(n, n.command, **kwargs)
raise ValueError('unknown node kind %r' % k)
def visit_operator(self, node, op, **kwargs):
return self._visit_children(op)
def visit_list(self, node, parts, **kwargs):
return self._visit_children(parts)
def visit_pipe(self, node, pipe, **kwargs):
return self._visit_children(pipe)
def visit_pipeline(self, node, parts, **kwargs):
return self._visit_children(parts)
def visit_compound(self, node, list_, redirects, **kwargs):
return self._visit_children(list_, redirects)
def visit_if(self, node, parts, **kwargs):
return self._visit_children(parts)
def visit_for(self, node, parts, **kwargs):
return self._visit_children(parts)
def visit_while(self, node, parts, **kwargs):
return self._visit_children(parts)
def visit_until(self, node, parts, **kwargs):
return self._visit_children(parts)
def visit_command(self, node, parts, **kwargs):
return self._visit_children(parts)
def visit_function(self, node, name, body, parts, **kwargs):
return self._visit_children(name, body, parts)
def visit_word(self, node, word, **kwargs):
return self._visit_children(word)
def visit_wordtext(self, node, text, **kwargs):
return self._visit_children(text)
def visit_assignment(self, node, word, **kwargs):
return self._visit_children(word)
def visit_reservedword(self, node, word, **kwargs):
return self._visit_children(word)
def visit_parameter(self, node, value, **kwargs):
return self._visit_children(value)
def visit_tilde(self, node, value, **kwargs):
return self._visit_children(value)
def visit_redirect(self, node, input_, type_, output, heredoc, **kwargs):
return self._visit_children(input_, type_, output, heredoc)
def visit_heredoc(self, node, value, **kwargs):
return self._visit_children(value)
def visit_processsubstitution(self, node, command, **kwargs):
return self._visit_children(command)
def visit_commandsubstitution(self, node, command, **kwargs):
return self._visit_children(command)
| 40.643564
| 81
| 0.613642
| 521
| 4,105
| 4.65643
| 0.119002
| 0.144683
| 0.234955
| 0.218054
| 0.546167
| 0.424155
| 0.41014
| 0.41014
| 0.41014
| 0.292251
| 0
| 0.000653
| 0.25408
| 4,105
| 100
| 82
| 41.05
| 0.791639
| 0
| 0
| 0.233333
| 0
| 0
| 0.046053
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.277778
| false
| 0
| 0.011111
| 0.244444
| 0.744444
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
0eeb22051238b483cfe79f098957693c727b3281
| 175
|
py
|
Python
|
python/message_broker_redis/mytasks.py
|
vleo/scriptum-notebook
|
bb9415e578b19e1b5811c7c5bb3c113d2cb4f88b
|
[
"MIT"
] | 1
|
2017-12-14T22:30:33.000Z
|
2017-12-14T22:30:33.000Z
|
python/message_broker_redis/mytasks.py
|
vleo/scriptum-notebook
|
bb9415e578b19e1b5811c7c5bb3c113d2cb4f88b
|
[
"MIT"
] | 4
|
2020-07-16T19:10:29.000Z
|
2021-09-01T01:28:27.000Z
|
python/message_broker_redis/mytasks.py
|
vleo/scriptum-notebook
|
bb9415e578b19e1b5811c7c5bb3c113d2cb4f88b
|
[
"MIT"
] | 1
|
2018-11-08T08:32:48.000Z
|
2018-11-08T08:32:48.000Z
|
from __future__ import print_function
from celery.decorators import task
@task(default_retry_delay=300, max_retries=5)
def mytask(name):
return "Hello, {}".format(name)
| 21.875
| 45
| 0.777143
| 25
| 175
| 5.12
| 0.84
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025974
| 0.12
| 175
| 7
| 46
| 25
| 0.805195
| 0
| 0
| 0
| 0
| 0
| 0.051429
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0.2
| 0.8
| 0.2
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
|
0
| 4
|
0eefd212518da451d85d67c5a5f1d458525d299e
| 29
|
py
|
Python
|
ORC_R32IMAZicsr/build/Lattice_UP5K/pre_pack.py
|
mfkiwl/ORCs
|
f07111b918849078a417f9589073db284f8baf4b
|
[
"BSD-3-Clause"
] | 3
|
2021-01-25T05:10:49.000Z
|
2021-09-13T19:46:50.000Z
|
ORC_R32IMAZicsr/build/Lattice_UP5K/pre_pack.py
|
mfkiwl/ORCs
|
f07111b918849078a417f9589073db284f8baf4b
|
[
"BSD-3-Clause"
] | null | null | null |
ORC_R32IMAZicsr/build/Lattice_UP5K/pre_pack.py
|
mfkiwl/ORCs
|
f07111b918849078a417f9589073db284f8baf4b
|
[
"BSD-3-Clause"
] | 1
|
2021-01-27T16:47:17.000Z
|
2021-01-27T16:47:17.000Z
|
ctx.addClock("i_clk", 12.00)
| 14.5
| 28
| 0.689655
| 6
| 29
| 3.166667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 0.068966
| 29
| 1
| 29
| 29
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0.172414
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
161225abb908dcb00ab2380d5b63a91429a94e8a
| 1,233
|
py
|
Python
|
stubs.min/System/Windows/Forms/__init___parts/DataGridViewCellStyleConverter.py
|
denfromufa/ironpython-stubs
|
4d2b405eda3ceed186e8adca55dd97c332c6f49d
|
[
"MIT"
] | 1
|
2017-07-07T11:15:45.000Z
|
2017-07-07T11:15:45.000Z
|
stubs.min/System/Windows/Forms/__init___parts/DataGridViewCellStyleConverter.py
|
hdm-dt-fb/ironpython-stubs
|
4d2b405eda3ceed186e8adca55dd97c332c6f49d
|
[
"MIT"
] | null | null | null |
stubs.min/System/Windows/Forms/__init___parts/DataGridViewCellStyleConverter.py
|
hdm-dt-fb/ironpython-stubs
|
4d2b405eda3ceed186e8adca55dd97c332c6f49d
|
[
"MIT"
] | null | null | null |
class DataGridViewCellStyleConverter(TypeConverter):
"""
Converts System.Windows.Forms.DataGridViewCellStyle objects to and from other data types.
DataGridViewCellStyleConverter()
"""
def CanConvertTo(self,*__args):
"""
CanConvertTo(self: DataGridViewCellStyleConverter,context: ITypeDescriptorContext,destinationType: Type) -> bool
context: An System.ComponentModel.ITypeDescriptorContext that provides a format context.
destinationType: A System.Type that represents the type you want to convert to.
Returns: true if this converter can perform the conversion; otherwise,false.
"""
pass
def ConvertTo(self,*__args):
"""
ConvertTo(self: DataGridViewCellStyleConverter,context: ITypeDescriptorContext,culture: CultureInfo,value: object,destinationType: Type) -> object
context: An System.ComponentModel.ITypeDescriptorContext that provides a format context.
culture: A System.Globalization.CultureInfo. If null is passed,the current culture is
assumed.
value: The System.Object to convert.
destinationType: The System.Type to convert the value parameter to.
Returns: An System.Object that represents the converted value.
"""
pass
| 42.517241
| 150
| 0.755069
| 129
| 1,233
| 7.186047
| 0.457364
| 0.02589
| 0.088457
| 0.135922
| 0.166127
| 0.166127
| 0.166127
| 0.166127
| 0.166127
| 0.166127
| 0
| 0
| 0.172749
| 1,233
| 28
| 151
| 44.035714
| 0.908824
| 0.818329
| 0
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0.4
| 0
| 0
| 0.6
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
161f5e8e426cdbe13e930946d63adae779449206
| 83
|
py
|
Python
|
pstmgmt/pest/apps.py
|
aniketb97/pest_management
|
3acb0b1617c7832cd0c300722e6e87cb509ccc0f
|
[
"Apache-2.0"
] | null | null | null |
pstmgmt/pest/apps.py
|
aniketb97/pest_management
|
3acb0b1617c7832cd0c300722e6e87cb509ccc0f
|
[
"Apache-2.0"
] | null | null | null |
pstmgmt/pest/apps.py
|
aniketb97/pest_management
|
3acb0b1617c7832cd0c300722e6e87cb509ccc0f
|
[
"Apache-2.0"
] | null | null | null |
from django.apps import AppConfig
class PestConfig(AppConfig):
name = 'pest'
| 13.833333
| 33
| 0.73494
| 10
| 83
| 6.1
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.180723
| 83
| 5
| 34
| 16.6
| 0.897059
| 0
| 0
| 0
| 0
| 0
| 0.048193
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
16297ed3c91c08fabff3d780321b0a9819c19422
| 545
|
py
|
Python
|
resources/dot_PyCharm/system/python_stubs/cache/689a09b61c943b8ee192c309c0b73dfc975d170afdc927b760f50a117a229bf8/perfmon.py
|
basepipe/developer_onboarding
|
05b6a776f8974c89517868131b201f11c6c2a5ad
|
[
"MIT"
] | 1
|
2020-04-20T02:27:20.000Z
|
2020-04-20T02:27:20.000Z
|
resources/dot_PyCharm/system/python_stubs/cache/689a09b61c943b8ee192c309c0b73dfc975d170afdc927b760f50a117a229bf8/perfmon.py
|
basepipe/developer_onboarding
|
05b6a776f8974c89517868131b201f11c6c2a5ad
|
[
"MIT"
] | null | null | null |
resources/dot_PyCharm/system/python_stubs/cache/689a09b61c943b8ee192c309c0b73dfc975d170afdc927b760f50a117a229bf8/perfmon.py
|
basepipe/developer_onboarding
|
05b6a776f8974c89517868131b201f11c6c2a5ad
|
[
"MIT"
] | null | null | null |
# encoding: utf-8
# module perfmon
# from C:\Python27\lib\site-packages\win32\perfmon.pyd
# by generator 1.147
# no doc
# no imports
# functions
def CounterDefinition(*args, **kwargs): # real signature unknown
pass
def LoadPerfCounterTextStrings(*args, **kwargs): # real signature unknown
pass
def ObjectType(*args, **kwargs): # real signature unknown
pass
def PerfMonManager(*args, **kwargs): # real signature unknown
pass
def UnloadPerfCounterTextStrings(*args, **kwargs): # real signature unknown
pass
# no classes
| 20.961538
| 75
| 0.724771
| 65
| 545
| 6.076923
| 0.523077
| 0.126582
| 0.177215
| 0.291139
| 0.460759
| 0.460759
| 0.374684
| 0
| 0
| 0
| 0
| 0.019824
| 0.166972
| 545
| 25
| 76
| 21.8
| 0.85022
| 0.469725
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
16409d5ebe83369d2c9ae067aec793d952f9caca
| 159
|
py
|
Python
|
logicTest/test10.py
|
mlobf/LogicRoutinePython
|
94c128f92bb2ab56b62cf502208377de87d33f20
|
[
"MIT"
] | null | null | null |
logicTest/test10.py
|
mlobf/LogicRoutinePython
|
94c128f92bb2ab56b62cf502208377de87d33f20
|
[
"MIT"
] | null | null | null |
logicTest/test10.py
|
mlobf/LogicRoutinePython
|
94c128f92bb2ab56b62cf502208377de87d33f20
|
[
"MIT"
] | null | null | null |
temperatura_celsus = 0
def convert_celsus(temperatura_celsus):
celsus = ((temperatura_celsus - 32) / 1.8)
return celsus
print(convert_celsus(100))
| 15.9
| 46
| 0.72956
| 20
| 159
| 5.55
| 0.55
| 0.459459
| 0.414414
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.060606
| 0.169811
| 159
| 9
| 47
| 17.666667
| 0.780303
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0
| 0
| 0.4
| 0.2
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
164507f559fbe3fb689a9c39272593ff1fd38abc
| 3,495
|
py
|
Python
|
_build/jupyter_execute/Module6/m6_01.py
|
liuzhengqi1996/math452_Spring2022
|
b01d1d9bee4778b3069e314c775a54f16dd44053
|
[
"MIT"
] | null | null | null |
_build/jupyter_execute/Module6/m6_01.py
|
liuzhengqi1996/math452_Spring2022
|
b01d1d9bee4778b3069e314c775a54f16dd44053
|
[
"MIT"
] | null | null | null |
_build/jupyter_execute/Module6/m6_01.py
|
liuzhengqi1996/math452_Spring2022
|
b01d1d9bee4778b3069e314c775a54f16dd44053
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
# coding: utf-8
# # MgNet: a special CNN based on multigrid method
# In[1]:
from IPython.display import IFrame
IFrame(src="https://cdnapisec.kaltura.com/p/2356971/sp/235697100/embedIframeJs/uiconf_id/41416911/partner_id/2356971?iframeembed=true&playerId=kaltura_player&entry_id=1_luk1i2xr&flashvars[streamerType]=auto&flashvars[localizationCode]=en&flashvars[leadWithHTML5]=true&flashvars[sideBarContainer.plugin]=true&flashvars[sideBarContainer.position]=left&flashvars[sideBarContainer.clickToClose]=true&flashvars[chapters.plugin]=true&flashvars[chapters.layout]=vertical&flashvars[chapters.thumbnailRotator]=false&flashvars[streamSelector.plugin]=true&flashvars[EmbedPlayer.SpinnerTarget]=videoHolder&flashvars[dualScreen.plugin]=true&flashvars[hotspots.plugin]=1&flashvars[Kaltura.addCrossoriginToIframe]=true&&wid=1_s9zzktyl",width='800', height='500')
# ## Download the lecture notes here: [Notes](https://sites.psu.edu/math452/files/2022/03/F01MgNet.pdf)
# 1D and 2D Finite Element and Multigrid
# -------------------------------------
#
# 1D and 2D Comparison for Finite Element and Multigrid
#
# 
#
# Basic multigrid components
#
# 
#
# ### Multigrid algorithm for $A * \mu=f$
#
# ```{prf:algorithm} A multigrid algorithm $\mu=\operatorname{MG} 1\left(f ; \mu^{0} ; J, v_{1}, \cdots, v_{J}\right)$
# :label: alg61_1
# Set up:
#
# $$
# f^{1}=f, \quad \mu^{1}=\mu^{0}
# $$
#
# Smoothing and restriction from fine to coarse level (nested)
#
# **For** $\ell=1: J$ do
#
# **For** $i=1: v_{\ell}$ do
#
# $$
# \mu^{\ell} \leftarrow \mu^{\ell}+S^{\ell} *\left(f^{\ell}-A_{\ell} * \mu^{\ell}\right)
# $$
#
# **EndFor**
#
# Form restricted residual and set initial guess:
#
# $$
# \mu^{\ell+1} \leftarrow \Pi_{\ell}^{\ell+1} \mu^{\ell}, \quad f^{\ell+1} \leftarrow R *_{2}\left(f^{\ell}-A_{\ell} * \mu^{\ell}\right)+A_{\ell+1} * \mu^{\ell+1}
# $$
#
# **EndFor**
#
# Prolongation and restriction from coarse to fine level
#
# **For** $\ell=J-1: 1$ do
#
# $$
# \mu^{\ell} \leftarrow \mu^{\ell}+R *_{2}^{\top}\left(\mu^{\ell+1}-\Pi_{\ell}^{\ell+1} \mu^{\ell}\right)
# $$
#
# **EndFor**
#
# $$
# \mu \leftarrow \mu^{1}
# $$
#
# ```
#
#
# ```{admonition} Remark
# The above multigrid method
# for the linear problem $A * \mu=b$ is independent of the choice of the
# interpolation operation
# $\Pi_{\ell}^{\ell+1}: \mathbb{R}^{n_{\ell} \times n_{\ell}} \mapsto \mathbb{R}^{n_{\ell+1} \times n_{\ell+1}}$
# and in particular, we could take $\Pi_{\ell}^{\ell+1}:=0$. But such an
# operation is critical for nonlinear problems.
# ```
#
# ### MgNet
#
# ```{prf:algorithm} $\mu^{J}=\operatorname{MgNet} 1\left(f ; \mu^{0} ; J, v_{1}, \cdots, v_{J}\right)$
# :label: alg61_2
# Set up:
#
# $$
# \qquad f^{1}=\theta * f, \quad \mu^{1}=\mu^{0}
# $$
#
# Smoothing and restriction from fine to coarse level (nested)
#
# **For** $\ell=1: J$ do
#
# $\quad$
#
# **For** $i=1: v_{\ell}$ do
#
# $$
# \quad \mu^{\ell} \leftarrow \mu^{\ell}+\sigma \circ S^{\ell} * \sigma \circ\left(f^{\ell}-A_{\ell} * \mu^{\ell}\right)
# $$
#
# **EndFor**
#
# Form restricted residual and set initial guess:
#
# $$
# \quad \mu^{\ell+1} \leftarrow \Pi_{\ell}^{\ell+1} \mu^{\ell}, \quad f^{\ell+1} \leftarrow R *_{2}\left(f^{\ell}-A_{\ell} * \mu^{\ell}\right)+A_{\ell+1} * \mu^{\ell+1}
# $$
#
# **EndFor**
# ```
#
# In[ ]:
| 28.647541
| 803
| 0.618884
| 497
| 3,495
| 4.287726
| 0.34004
| 0.033787
| 0.045049
| 0.021117
| 0.289535
| 0.280619
| 0.244955
| 0.244955
| 0.244955
| 0.244955
| 0
| 0.035738
| 0.135336
| 3,495
| 121
| 804
| 28.884298
| 0.669424
| 0.69299
| 0
| 0
| 0
| 0.5
| 0.80608
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
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| 0
| 0
| 0
| null | 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| 0
| 0
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| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
1670ca14dc7fa8652c6f45be1d900302048d81d2
| 225
|
py
|
Python
|
backend/scrapers/events/__init__.py
|
tcc-collab/trinity_website
|
7d1f9982f069a307a281b83270e4ad13fce893e5
|
[
"MIT"
] | null | null | null |
backend/scrapers/events/__init__.py
|
tcc-collab/trinity_website
|
7d1f9982f069a307a281b83270e4ad13fce893e5
|
[
"MIT"
] | 5
|
2019-10-25T16:07:06.000Z
|
2021-06-02T01:00:14.000Z
|
backend/scrapers/events/__init__.py
|
tcc-collab/trinity_website
|
7d1f9982f069a307a281b83270e4ad13fce893e5
|
[
"MIT"
] | 1
|
2019-10-14T15:19:23.000Z
|
2019-10-14T15:19:23.000Z
|
"""
Events package:
get_top_event -> [List] list of recent 3 notices[type dict]
event_page_link -> [str] link of notice page containing all notices
"""
from backend.scrapers.events.main import event_page_link, get_top_event
| 28.125
| 71
| 0.777778
| 36
| 225
| 4.638889
| 0.638889
| 0.071856
| 0.131737
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005102
| 0.128889
| 225
| 7
| 72
| 32.142857
| 0.846939
| 0.635556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1673394289dcedaa3e732d7354c8fe99b9f7751a
| 304
|
py
|
Python
|
Engineering/CursoBasicoDePython/19_slices.py
|
Youngermaster/Platzi
|
0e125d11c0ebb0963fef923a38140313bd8f8ca7
|
[
"MIT"
] | null | null | null |
Engineering/CursoBasicoDePython/19_slices.py
|
Youngermaster/Platzi
|
0e125d11c0ebb0963fef923a38140313bd8f8ca7
|
[
"MIT"
] | null | null | null |
Engineering/CursoBasicoDePython/19_slices.py
|
Youngermaster/Platzi
|
0e125d11c0ebb0963fef923a38140313bd8f8ca7
|
[
"MIT"
] | null | null | null |
my_name = "Juan Manuel Young Hoyos"
print(my_name[0])
# * Both of them are equal
print(my_name[0:3])
print(my_name[:3])
# * Both of them are equal
print(my_name[1:len(my_name)])
print(my_name[1:])
# * Slicing with steps
print(my_name[1:len(my_name):2])
# * It brings me everything
print(my_name[::])
| 17.882353
| 35
| 0.694079
| 58
| 304
| 3.465517
| 0.413793
| 0.298507
| 0.383085
| 0.179104
| 0.442786
| 0.442786
| 0.442786
| 0.288557
| 0
| 0
| 0
| 0.030534
| 0.138158
| 304
| 16
| 36
| 19
| 0.736641
| 0.315789
| 0
| 0
| 0
| 0
| 0.1133
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.875
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
1677c260a7622d4ba0193897b60471ab75358d9b
| 415
|
py
|
Python
|
products/models.py
|
bdonald25/Product-Log
|
a33ddfee07b41eae79e8e3657dab19f548ea1541
|
[
"MIT"
] | null | null | null |
products/models.py
|
bdonald25/Product-Log
|
a33ddfee07b41eae79e8e3657dab19f548ea1541
|
[
"MIT"
] | null | null | null |
products/models.py
|
bdonald25/Product-Log
|
a33ddfee07b41eae79e8e3657dab19f548ea1541
|
[
"MIT"
] | null | null | null |
from django.db import models
class Product(models.Model):
product_name = models.CharField(max_length=40000)
serial_number = models.CharField(max_length=40000)
warranty_info = models.CharField(max_length=40000)
img = models.ImageField(upload_to='product_photos/', null=True)
pdf = models.FileField(upload_to='product_pdfs/', null=True)
def __unicode__(self):
return self.product_name
| 37.727273
| 67
| 0.751807
| 55
| 415
| 5.4
| 0.563636
| 0.151515
| 0.181818
| 0.242424
| 0.292929
| 0
| 0
| 0
| 0
| 0
| 0
| 0.042135
| 0.142169
| 415
| 11
| 68
| 37.727273
| 0.792135
| 0
| 0
| 0
| 0
| 0
| 0.067308
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0.111111
| 0.111111
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
169b70dc2f8e2a255c8e189021272321b2e5c19e
| 136
|
py
|
Python
|
modelutils/coreml/dump.py
|
shonohs/modelutils
|
24df495ce5372c3f8a1f064f163b51150517e2de
|
[
"MIT"
] | 1
|
2020-12-10T07:06:32.000Z
|
2020-12-10T07:06:32.000Z
|
modelutils/coreml/dump.py
|
shonohs/modelutils
|
24df495ce5372c3f8a1f064f163b51150517e2de
|
[
"MIT"
] | null | null | null |
modelutils/coreml/dump.py
|
shonohs/modelutils
|
24df495ce5372c3f8a1f064f163b51150517e2de
|
[
"MIT"
] | null | null | null |
def dump_model(filepath):
import coremltools
model = coremltools.models.MLModel(str(filepath)).get_spec()
return str(model)
| 27.2
| 64
| 0.735294
| 17
| 136
| 5.764706
| 0.705882
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.154412
| 136
| 4
| 65
| 34
| 0.852174
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
16b8fef37267ccab1d7552088f8e093b67561aba
| 53
|
py
|
Python
|
SUMA.py
|
lwojcik/plspoj-problems
|
30bfc07ffcd9f1a33b02d52d10747fc0861559ea
|
[
"MIT"
] | 1
|
2018-01-03T18:38:48.000Z
|
2018-01-03T18:38:48.000Z
|
SUMA.py
|
lwojcik/plspoj-problems
|
30bfc07ffcd9f1a33b02d52d10747fc0861559ea
|
[
"MIT"
] | null | null | null |
SUMA.py
|
lwojcik/plspoj-problems
|
30bfc07ffcd9f1a33b02d52d10747fc0861559ea
|
[
"MIT"
] | null | null | null |
b=0
a=0
while b:
b=input()
a=a+b
print a
| 7.571429
| 13
| 0.471698
| 13
| 53
| 1.923077
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.060606
| 0.377358
| 53
| 6
| 14
| 8.833333
| 0.69697
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.166667
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
16caa7ad0f56520a5ecb88fc1382ad2cbbbed554
| 219
|
py
|
Python
|
django_htmx_extras/views/generic/__init__.py
|
Tiny-Tiny-App/django-htmx-extras
|
0fca79be532ff51d1fe0346318282a3cd23cdced
|
[
"MIT"
] | 3
|
2021-08-19T07:46:01.000Z
|
2021-12-22T12:33:42.000Z
|
django_htmx_extras/views/generic/__init__.py
|
Tiny-Tiny-App/django-htmx-extras
|
0fca79be532ff51d1fe0346318282a3cd23cdced
|
[
"MIT"
] | null | null | null |
django_htmx_extras/views/generic/__init__.py
|
Tiny-Tiny-App/django-htmx-extras
|
0fca79be532ff51d1fe0346318282a3cd23cdced
|
[
"MIT"
] | null | null | null |
from django_htmx_extras.views.generic.base import HtmxTemplateView
from django_htmx_extras.views.generic.edit import HtmxFormView, HtmxUpdateView
__all__ = [
'HtmxTemplateView', 'HtmxFormView', 'HtmxUpdateView',
]
| 31.285714
| 78
| 0.817352
| 23
| 219
| 7.434783
| 0.565217
| 0.116959
| 0.163743
| 0.233918
| 0.374269
| 0.374269
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09589
| 219
| 6
| 79
| 36.5
| 0.863636
| 0
| 0
| 0
| 0
| 0
| 0.191781
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
16dcbc20ee31a85b47099e0f2d1c0f66d0e7d2fc
| 415
|
py
|
Python
|
h/presenters/annotation_base.py
|
pombredanne/h
|
9c4c2dc0d53ed5bed5183936c24b4c27b23070b4
|
[
"BSD-2-Clause"
] | null | null | null |
h/presenters/annotation_base.py
|
pombredanne/h
|
9c4c2dc0d53ed5bed5183936c24b4c27b23070b4
|
[
"BSD-2-Clause"
] | null | null | null |
h/presenters/annotation_base.py
|
pombredanne/h
|
9c4c2dc0d53ed5bed5183936c24b4c27b23070b4
|
[
"BSD-2-Clause"
] | null | null | null |
"""A base presenter for common properties needed when rendering annotations."""
class AnnotationBasePresenter:
def __init__(self, annotation):
self.annotation = annotation
@property
def target(self):
target = {"source": self.annotation.target_uri}
if self.annotation.target_selectors:
target["selector"] = self.annotation.target_selectors
return [target]
| 27.666667
| 79
| 0.686747
| 42
| 415
| 6.619048
| 0.571429
| 0.251799
| 0.215827
| 0.208633
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.221687
| 415
| 14
| 80
| 29.642857
| 0.860681
| 0.175904
| 0
| 0
| 0
| 0
| 0.041667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0
| 0
| 0.444444
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
16e8aaa2c3c84a6a3cef9e9fa2ac2ca03a01e6a4
| 86
|
py
|
Python
|
sqlorm/models/__init__.py
|
jaganadhg/swenginnpoc
|
33bd71472b848864947a98ede99e1875bc2f5ef4
|
[
"MIT"
] | null | null | null |
sqlorm/models/__init__.py
|
jaganadhg/swenginnpoc
|
33bd71472b848864947a98ede99e1875bc2f5ef4
|
[
"MIT"
] | null | null | null |
sqlorm/models/__init__.py
|
jaganadhg/swenginnpoc
|
33bd71472b848864947a98ede99e1875bc2f5ef4
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
from .mymodels import UserData
from .kaggle import KaggleData
| 14.333333
| 30
| 0.77907
| 12
| 86
| 5.583333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.139535
| 86
| 5
| 31
| 17.2
| 0.905405
| 0.232558
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
bc4c4be4e1283a389860545ff68bf099d7167b33
| 6,494
|
py
|
Python
|
lyrics.py
|
HassanHarb92/BEATLES
|
443f6f1ca223680d0d09c6154d2fe51b15de3189
|
[
"MIT"
] | null | null | null |
lyrics.py
|
HassanHarb92/BEATLES
|
443f6f1ca223680d0d09c6154d2fe51b15de3189
|
[
"MIT"
] | null | null | null |
lyrics.py
|
HassanHarb92/BEATLES
|
443f6f1ca223680d0d09c6154d2fe51b15de3189
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
from __future__ import division
import sys
import math
import cmath
import numpy as np
from numpy import genfromtxt
import csv
from decimal import Decimal
import os
# This file contains quotes from the BEATLES songs and/or songs written by individual members of the BEATLES
#
# The function is called at the end of the python script and it will randomly pick one quote from the list below
#
def LyricsLibrary(n):
print "\nDaily Dose of Beatles!\n"
if (n == 1):
print "Imagine there's no heaven\nIt's easy if you try\nNo hell below us\nAbove us only sky\nImagine all the people\nliving for today\n"
elif (n==2):
print "You may say I'm a dreamer,\nbut I'm not the only one.\nI hope someday you'll join us.\nAnd the world will live as one.\n"
elif (n == 3):
print "Imagine there's no countries\nIt isn't hard to do\nNothing to kill or die for\nAnd no religion too\nImagine all the people living life in peace\n"
elif (n == 4):
print "Imagine no possessions\nI wonder if you can\nNo need for greed or hunger\nA brotherhood of man\n"
elif (n == 5):
print "Here come old flat top\nHe come groovin' up slowly\nHe got joo joo eyeballs\nHe one holy roller\nHe got hair down to his knee\nGot to be a joker\nHe just do what he please\n"
elif (n == 6):
print "He bad production\nHe got walrus gumboot\nHe got Ono sideboard\nHe one spinal cracker\nHe got feet down below his knee\n"
elif (n == 7):
print "He wear no shoeshine\nHe got toe jam football\nHe got monkey finger\nHe shoot Coca-Cola\nHe say I know you, you know me\n"
elif (n == 8):
print "One thing I can tell you is\nYou got to be free\n"
elif (n == 9):
print "It's been a hard day's night, and I've been working like a dog\nIt's been a hard day's night, I should be sleeping like a log\n"
elif (n == 10):
print "When I'm home everything seems to be right\nWhen I'm home feeling you holding me tight, tight, yeah\n"
elif (n == 11):
print "Hey Jude, don't make it bad\nTake a sad song and make it better\nRemember to let her into your heart\nThen you can start to make it better\n"
elif (n == 12):
print "And anytime you feel the pain\nHey Jude, refrain\nDon't carry the world upon your shoulders\n"
elif (n == 13):
print "Hey Jude, don't let me down\nYou have found her, now go and get her\nRemember to let her into your heart\nThen you can start to make it better\n"
elif (n == 14):
print "Let me take you down\b'Cause I'm going to Strawberry Fields\bNothing is real\nAnd nothing to get hung about\nStrawberry Fields forever\n"
elif (n == 15):
print "Living is easy with eyes closed\nMisunderstanding all you see\nIt's getting hard to be someone\nBut it all works out\nIt doesn't matter much to me\n"
elif (n == 16):
print "No one I think is in my tree\nI mean it must be high or low\nThat is you can't, you know, tune in\nBut it's all right\nThat is, I think, it's not too bad\n"
elif (n == 17):
print "In Penny Lane, there is a barber showing photographs\nOf every head he's had the pleasure to know\nAnd all the people that come and go\nStop and say, Hello\n"
elif (n == 18):
print "On the corner is a banker with a motorcar\nAnd little children laugh at him behind his back\nAnd the banker never wears a mac\nIn the pouring rain, very strange\n"
elif (n == 19):
print "Penny Lane is in my ears and in my eyes\nThere beneath the blue suburban skies\n"
elif (n == 20):
print "In Penny Lane there is a fireman with an hourglass\bAnd in his pocket is a portrait of the Queen\bHe likes to keep his fire engine clean\nIt's a clean machine\n"
elif (n == 21):
print "In Penny Lane, the barber shaves another customer\nWe see the banker sitting waiting for a trim\nAnd then the fireman rushes in\nFrom the pouring rain, very strange\n"
elif (n == 22):
print "I read the news today, oh boy\nAbout a lucky man who made the grade\nAnd though the news was rather sad\nWell, I just had to laugh\nI saw the photograph\n"
elif (n == 23):
print "He blew his mind out in a car\nHe didn't notice that the lights had changed\nA crowd of people stood and stared\nThey'd seen his face before\nNobody was really sure if he was from the House of Lords\n"
elif (n == 24):
print "I saw a film today, oh boy\nThe English Army had just won the war\nA crowd of people turned away\nBut I just had to look\nHaving read the book\nI'd love to turn you on\n"
elif (n == 25):
print "You think you've lost your love\nWell, I saw her yesterday\nIt's you she's thinking of\nAnd she told me what to say\n"
elif (n == 26):
print "She says she loves you\nAnd you know that can't be bad\nYes, she loves you\nAnd you know you should be glad\n"
elif (n == 27):
print "She said you hurt her so\nShe almost lost her mind\nBut now she said she knows\nYou're not the hurting kind\n"
elif (n == 28):
print "You don't need me to show the way, love\nWhy do I always have to say, love\nCome on, come on, come on, come on\nCome on, come on, come on, come on\nPlease, please me, whoa yeah, like I please you\n"
elif (n == 29):
print "I don't want to sound complaining\nBut you know there's always rain in my heart\nI do all the pleasing with you\nIt's so hard to reason with you\nwhoa yeah, why do you make me blue?\n"
elif (n == 30):
print "Dear Prudence, won't you come out to play?\nDear Prudence, greet the brand new day\n"
elif (n == 31):
print "Dear Prudence, open up your eyes\nDear Prudence, see the sunny skies\nThe wind is low, the birds will sing\nThat you are part of everything\nDear Prudence, won't you open up your eyes?\n"
elif (n == 32):
print "Dear Prudence, let me see you smile\nDear Prudence, like a little child\nThe clouds will be a daisy chain\nSo let me see you smile again\nDear Prudence, won't you let me see you smile?\n"
else:
print "Imagine there's no countries..."
# Songs covered:
#
# Following up on this list:
#
# https://www.vulture.com/2017/06/all-213-beatles-songs-ranked-from-worst-to-best.html
#
# 1. Imagine
# 2. Come together
# 3. A Hard Day's Night
# 4. Hey Jude
# 5. Strawberry Fields Forever
# 6. Penny Lane
# 7. A Day in the Life
# 8. She Loves You
# 9. Please Please Me
# 10. Dear Prudence
#
| 46.719424
| 215
| 0.686326
| 1,221
| 6,494
| 3.647011
| 0.374283
| 0.034808
| 0.04177
| 0.010779
| 0.131597
| 0.097013
| 0.074107
| 0.054795
| 0.029643
| 0.029643
| 0
| 0.015048
| 0.232522
| 6,494
| 138
| 216
| 47.057971
| 0.878411
| 0.086079
| 0
| 0
| 0
| 0.38961
| 0.756556
| 0.00406
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.116883
| null | null | 0.441558
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
bc8131c7cfa264cb9b52ae9e534512e39bdb34d6
| 190
|
py
|
Python
|
example_project/sample_image_insert/admin.py
|
servee/servee
|
59405663e1c30d3bcb3f6918932adfc02ae1a668
|
[
"MIT"
] | 3
|
2017-08-22T13:19:12.000Z
|
2021-12-28T23:58:17.000Z
|
example_project/sample_image_insert/admin.py
|
servee/servee
|
59405663e1c30d3bcb3f6918932adfc02ae1a668
|
[
"MIT"
] | null | null | null |
example_project/sample_image_insert/admin.py
|
servee/servee
|
59405663e1c30d3bcb3f6918932adfc02ae1a668
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from sample_image_insert.models import Image
class ImageAdmin(admin.ModelAdmin):
list_display = ('title',)
admin.site.register(Image, ImageAdmin)
| 21.111111
| 44
| 0.773684
| 24
| 190
| 6
| 0.708333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136842
| 190
| 8
| 45
| 23.75
| 0.878049
| 0
| 0
| 0
| 0
| 0
| 0.026316
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
bc9bd67a7ed36f0d78282a02645a026a1a00d17c
| 134
|
py
|
Python
|
itp1_4a.py
|
ShinjiKatoA16/aoj-itp
|
83d1688f41d0cd85f6eced76aebdc97e0dc6a01f
|
[
"MIT"
] | null | null | null |
itp1_4a.py
|
ShinjiKatoA16/aoj-itp
|
83d1688f41d0cd85f6eced76aebdc97e0dc6a01f
|
[
"MIT"
] | null | null | null |
itp1_4a.py
|
ShinjiKatoA16/aoj-itp
|
83d1688f41d0cd85f6eced76aebdc97e0dc6a01f
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import sys
a, b = map(int, sys.stdin.readline().split())
print(a//b, a%b, round(a/b, 6))
| 16.75
| 45
| 0.58209
| 25
| 134
| 3.12
| 0.72
| 0.102564
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026087
| 0.141791
| 134
| 7
| 46
| 19.142857
| 0.652174
| 0.291045
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0.333333
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
bca69ccd8e11e9a7eaab7d6f16631c22613f8ed8
| 305
|
py
|
Python
|
pts/core/_base.py
|
devmofl/M5_Accuracy_3rd
|
b02bd4333520d71ff01b66c0446bb07324cfb0d1
|
[
"Apache-2.0",
"MIT"
] | 9
|
2021-06-17T11:00:41.000Z
|
2021-12-14T06:09:40.000Z
|
pts/core/_base.py
|
StatMixedML/pytorch-ts
|
4bc2d247c70c59479d359d13d2db5739227307e8
|
[
"Apache-2.0",
"MIT"
] | 1
|
2021-12-01T17:42:23.000Z
|
2021-12-13T12:57:51.000Z
|
pts/core/_base.py
|
StatMixedML/pytorch-ts
|
4bc2d247c70c59479d359d13d2db5739227307e8
|
[
"Apache-2.0",
"MIT"
] | 5
|
2021-06-17T11:00:43.000Z
|
2022-03-18T13:50:52.000Z
|
def fqname_for(cls: type) -> str:
"""
Returns the fully qualified name of ``cls``.
Parameters
----------
cls
The class we are interested in.
Returns
-------
str
The fully qualified name of ``cls``.
"""
return f"{cls.__module__}.{cls.__qualname__}"
| 20.333333
| 49
| 0.540984
| 35
| 305
| 4.457143
| 0.628571
| 0.102564
| 0.217949
| 0.269231
| 0.333333
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0.298361
| 305
| 15
| 49
| 20.333333
| 0.728972
| 0.554098
| 0
| 0
| 0
| 0
| 0.393258
| 0.393258
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
4c2a8b03f8874d08b24c34d644dab054dbcb57e0
| 1,472
|
py
|
Python
|
07patterns/leeb_substituion.py
|
edgells/python-commons
|
38c0aa0ec10304a4147ea231c92c9e34da462052
|
[
"MIT"
] | null | null | null |
07patterns/leeb_substituion.py
|
edgells/python-commons
|
38c0aa0ec10304a4147ea231c92c9e34da462052
|
[
"MIT"
] | null | null | null |
07patterns/leeb_substituion.py
|
edgells/python-commons
|
38c0aa0ec10304a4147ea231c92c9e34da462052
|
[
"MIT"
] | null | null | null |
"""
里氏替换原则
父类出现的地方子类一定能够出现
"""
class Database:
def connect(self):
pass
def close_connect(self):
pass
def execute(self):
pass
def command(self):
pass
def insert(self, **kwargs):
pass
def select(self, username: str):
pass
def update(self, username):
pass
def delete(self, username):
pass
class UserService:
def __init__(self, db: Database):
self._db = db
@property
def db(self):
return self._db
def create_user(self, username, password, *args, **kwargs):
return self.db.insert(username=username, password=password)
def find_user(self, username):
return self.db.select(username)
def update_user_info(self, username):
return self.db.update(username)
def delete_user(self, username):
return self.db.delete(username)
class MysqlDatabase(Database):
def __init__(self, db_type, db_host, db_port, db_name, db_user, db_password, *args, **kwargs):
pass
def insert(self, user):
self.db.insert()
def update(self, username):
pass
def select(self, username: str):
pass
def delete(self, username):
pass
class OracleDatabase(Database):
pass
def test():
# 数据在mysql
userService = UserService(MysqlDatabase())
# 数据在Oracle
userService = UserService(OracleDatabase())
if __name__ == '__main__':
test()
| 17.52381
| 98
| 0.612772
| 168
| 1,472
| 5.190476
| 0.238095
| 0.088303
| 0.068807
| 0.075688
| 0.286697
| 0.259174
| 0.150229
| 0.080275
| 0
| 0
| 0
| 0
| 0.281929
| 1,472
| 84
| 99
| 17.52381
| 0.824976
| 0.028533
| 0
| 0.387755
| 0
| 0
| 0.005658
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.408163
| false
| 0.326531
| 0
| 0.102041
| 0.591837
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
4c3c53ee708baf99b33875c7969b6b106183d417
| 89
|
py
|
Python
|
executor/module/shaping/__init__.py
|
alpavlenko/EvoGuess
|
19bc54e75cd959e445becda16fa6f488f0fb2367
|
[
"MIT"
] | 1
|
2021-12-12T15:09:56.000Z
|
2021-12-12T15:09:56.000Z
|
executor/module/shaping/__init__.py
|
alpavlenko/EvoGuess
|
19bc54e75cd959e445becda16fa6f488f0fb2367
|
[
"MIT"
] | 1
|
2021-10-10T09:16:57.000Z
|
2021-10-10T09:16:57.000Z
|
executor/module/shaping/__init__.py
|
alpavlenko/evoguess
|
e8510c32c8325c9fe66fc15899d378b7bf731557
|
[
"MIT"
] | null | null | null |
from .impl import *
from . import impl
shapings = impl.shapings
__all__ = impl.__all__
| 12.714286
| 24
| 0.741573
| 12
| 89
| 4.833333
| 0.416667
| 0.413793
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.179775
| 89
| 6
| 25
| 14.833333
| 0.794521
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
4c677c64a811484127f4eea4bbd3f23ade030c4f
| 1,085
|
py
|
Python
|
codes/models/networks/base_nets.py
|
sanchitvohra/EGVSR
|
c8927c3aa876fac8ce2508b00c6ed3a3d6df226c
|
[
"MIT"
] | 709
|
2021-04-27T12:12:32.000Z
|
2022-03-31T02:02:29.000Z
|
codes/models/networks/base_nets.py
|
sanchitvohra/EGVSR
|
c8927c3aa876fac8ce2508b00c6ed3a3d6df226c
|
[
"MIT"
] | 14
|
2021-07-13T12:04:42.000Z
|
2022-03-17T12:10:51.000Z
|
codes/models/networks/base_nets.py
|
riverlight/egvsr
|
3c0b478179f772d7fe7521655008a2d79a6b6185
|
[
"MIT"
] | 90
|
2021-07-07T18:35:18.000Z
|
2022-03-30T07:01:44.000Z
|
import torch.nn as nn
class BaseSequenceGenerator(nn.Module):
def __init__(self):
super(BaseSequenceGenerator, self).__init__()
def generate_dummy_input(self, lr_size):
""" use for compute per-step FLOPs and speed
return random tensors that can be taken as input of <forward>
"""
return None
def forward(self, *args, **kwargs):
""" forward pass for a singe frame
"""
pass
def forward_sequence(self, lr_data):
""" forward pass for a whole sequence (for training)
"""
pass
def infer_sequence(self, lr_data, device):
""" infer for a whole sequence (for inference)
"""
pass
class BaseSequenceDiscriminator(nn.Module):
def __init__(self):
super(BaseSequenceDiscriminator, self).__init__()
def forward(self, *args, **kwargs):
""" forward pass for a singe frame
"""
pass
def forward_sequence(self, data, args_dict):
""" forward pass for a whole sequence (for training)
"""
pass
| 25.232558
| 73
| 0.603687
| 125
| 1,085
| 5.04
| 0.392
| 0.031746
| 0.088889
| 0.095238
| 0.48254
| 0.450794
| 0.374603
| 0.374603
| 0.374603
| 0.238095
| 0
| 0
| 0.298618
| 1,085
| 42
| 74
| 25.833333
| 0.827858
| 0.314286
| 0
| 0.473684
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.421053
| false
| 0.263158
| 0.052632
| 0
| 0.631579
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
d5cdf1079f2b9b83ca6af414f0b7da72376b6f4e
| 232
|
py
|
Python
|
exercicios/ex031.py
|
Matheus1199/python
|
c87859d4bf63ba0edea43d864fcbce4915da7e6a
|
[
"MIT"
] | null | null | null |
exercicios/ex031.py
|
Matheus1199/python
|
c87859d4bf63ba0edea43d864fcbce4915da7e6a
|
[
"MIT"
] | null | null | null |
exercicios/ex031.py
|
Matheus1199/python
|
c87859d4bf63ba0edea43d864fcbce4915da7e6a
|
[
"MIT"
] | null | null | null |
km = float(input('Qual a distância da viagem? '))
print('Você está prestes a começar uma viagem de {}Km.')
if km < 200:
print('Você deverá pagar R${}'.format(km * 0.5))
else:
print('Você deverá pagar R${}'.format(km * 0.45))
| 38.666667
| 56
| 0.642241
| 40
| 232
| 3.725
| 0.625
| 0.181208
| 0.201342
| 0.268456
| 0.402685
| 0.402685
| 0.402685
| 0.402685
| 0
| 0
| 0
| 0.041885
| 0.176724
| 232
| 6
| 57
| 38.666667
| 0.73822
| 0
| 0
| 0
| 0
| 0
| 0.51073
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
d5e14565e0e4dc6b76293718fc7c137209c20542
| 112
|
py
|
Python
|
77.py
|
thaisNY/GuanabaraPy
|
a0a3acbd9242a39491a365b07562037d7a936bba
|
[
"MIT"
] | null | null | null |
77.py
|
thaisNY/GuanabaraPy
|
a0a3acbd9242a39491a365b07562037d7a936bba
|
[
"MIT"
] | null | null | null |
77.py
|
thaisNY/GuanabaraPy
|
a0a3acbd9242a39491a365b07562037d7a936bba
|
[
"MIT"
] | null | null | null |
#Crie uma trupla com várias palavras
#Para dada palavra imprima todas as duas vogasis
#Exemplo aprender : a,e,e
| 28
| 48
| 0.785714
| 19
| 112
| 4.631579
| 0.947368
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.160714
| 112
| 3
| 49
| 37.333333
| 0.93617
| 0.946429
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
910d6a875c5a96389e082ebeb54bb7b8015ec314
| 4,158
|
py
|
Python
|
scraper/src/tests/default_strategy/xpath_test.py
|
bhfmts/docsearch-scraper
|
5cac7ed4e013d4449a28958f805a97cfde47d6de
|
[
"MIT"
] | null | null | null |
scraper/src/tests/default_strategy/xpath_test.py
|
bhfmts/docsearch-scraper
|
5cac7ed4e013d4449a28958f805a97cfde47d6de
|
[
"MIT"
] | null | null | null |
scraper/src/tests/default_strategy/xpath_test.py
|
bhfmts/docsearch-scraper
|
5cac7ed4e013d4449a28958f805a97cfde47d6de
|
[
"MIT"
] | null | null | null |
# coding: utf-8
import lxml.html
from .abstract import get_strategy
class TestGetRecordsFromDomWithXpath:
def test_one_xpath(self):
# Given
strategy = get_strategy({
'selectors': {
'lvl0': {
'selector': 'descendant-or-self::*[@class and contains(concat(\' \', normalize-space(@class), \' \'), \' title \')]',
'type': 'xpath'
},
'lvl1': 'h2',
'lvl2': 'h3',
'content': 'p'
}
})
strategy.dom = lxml.html.fromstring("""
<html><body>
<h1 class="title">Foo</h1>
<p>text</p>
<h2>Bar</h2>
<h3>Baz</h3>
</body></html>
""")
# When
actual = strategy.get_records_from_dom()
# Then
# First record has the global H1
assert len(actual) == 4
assert actual[0]['type'] == 'lvl0'
assert actual[0]['hierarchy']['lvl0'] == 'Foo'
assert actual[0]['hierarchy']['lvl1'] is None
assert actual[0]['hierarchy']['lvl2'] is None
assert actual[0]['content'] is None
def test_two_xpath_including_one_global(self):
# Given
strategy = get_strategy({
'selectors': {
'lvl0': {
'selector': 'descendant-or-self::*[@class and contains(concat(\' \', normalize-space(@class), \' \'),'
' \' title \')]',
'type': 'xpath',
'global': True
},
'lvl1': {
'selector': 'descendant-or-self::*[@class and contains(concat(\' \', normalize-space(@class), \' \'),'
' \' subtitle \')]',
'type': 'xpath'
},
'lvl2': 'h3',
'content': 'p'
}
})
strategy.dom = lxml.html.fromstring("""
<html><body>
<p>text</p>
<h2 class="subtitle">Bar</h2>
<h3>Baz</h3>
<h1 class="title">Foo</h1>
<h1 class="title">Foo</h1>
</body></html>
""")
# When
actual = strategy.get_records_from_dom()
# Then
# First record has the global H1
assert len(actual) == 3
assert actual[0]['type'] == 'content'
assert actual[0]['hierarchy']['lvl0'] == 'Foo Foo'
assert actual[0]['hierarchy']['lvl1'] is None
assert actual[0]['hierarchy']['lvl2'] is None
assert actual[0]['content'] == 'text'
assert actual[1]['type'] == 'lvl1'
assert actual[1]['hierarchy']['lvl0'] == 'Foo Foo'
assert actual[1]['hierarchy']['lvl1'] == 'Bar'
assert actual[1]['hierarchy']['lvl2'] is None
assert actual[1]['content'] is None
def test_select_parent_with_xpath(self):
# Given
strategy = get_strategy({
'selectors': {
'lvl0': {
'selector': '//li[@class="active"]/../../../*[@class="title"]',
'type': 'xpath',
'global': True
},
'lvl1': 'li.active',
'lvl2': 'h3',
'content': 'p'
}
})
strategy.dom = lxml.html.fromstring("""
<html><body>
<p>text</p>
<h3>Baz</h3>
<div>
<h1 class="title">Foo</h1>
<div>
<ul>
<li class="active">Bar</li>
<li>Bar 2</li>
</ul>
</div>
</div>
</body></html>
""")
# When
actual = strategy.get_records_from_dom()
# Then
# First record has the global H1
assert len(actual) == 3
assert actual[0]['type'] == 'content'
assert actual[0]['hierarchy']['lvl0'] == 'Foo'
assert actual[0]['hierarchy']['lvl1'] is None
assert actual[0]['hierarchy']['lvl2'] is None
assert actual[0]['content'] == 'text'
| 31.263158
| 137
| 0.430736
| 388
| 4,158
| 4.554124
| 0.190722
| 0.135823
| 0.110357
| 0.112054
| 0.805886
| 0.735144
| 0.700057
| 0.673458
| 0.673458
| 0.640068
| 0
| 0.029235
| 0.399471
| 4,158
| 132
| 138
| 31.5
| 0.678414
| 0.037037
| 0
| 0.663462
| 0
| 0
| 0.374436
| 0.085213
| 0
| 0
| 0
| 0
| 0.221154
| 1
| 0.028846
| false
| 0
| 0.019231
| 0
| 0.057692
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9113b8a29569c1a310591997c2a3a97c4c907272
| 82
|
py
|
Python
|
arcade/python/arcade-theCore/17_RegularHell/139_ReplaceAllDigitsRegExp.py
|
netor27/codefights-arcade-solutions
|
69701ab06d45902c79ec9221137f90b75969d8c8
|
[
"MIT"
] | null | null | null |
arcade/python/arcade-theCore/17_RegularHell/139_ReplaceAllDigitsRegExp.py
|
netor27/codefights-arcade-solutions
|
69701ab06d45902c79ec9221137f90b75969d8c8
|
[
"MIT"
] | null | null | null |
arcade/python/arcade-theCore/17_RegularHell/139_ReplaceAllDigitsRegExp.py
|
netor27/codefights-arcade-solutions
|
69701ab06d45902c79ec9221137f90b75969d8c8
|
[
"MIT"
] | null | null | null |
def replaceAllDigitsRegExp(inputString):
return re.sub(r'\d','#',inputString)
| 27.333333
| 40
| 0.731707
| 9
| 82
| 6.666667
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097561
| 82
| 2
| 41
| 41
| 0.810811
| 0
| 0
| 0
| 0
| 0
| 0.036585
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
9141a73a1c4005a90765dd993106ab194e4af008
| 116
|
py
|
Python
|
tests/app_factory.py
|
etycomputer/simple-flask-website-simulator
|
1f5441f8f1bb82a7e42545e8883bbac6b450ff3c
|
[
"MIT"
] | null | null | null |
tests/app_factory.py
|
etycomputer/simple-flask-website-simulator
|
1f5441f8f1bb82a7e42545e8883bbac6b450ff3c
|
[
"MIT"
] | null | null | null |
tests/app_factory.py
|
etycomputer/simple-flask-website-simulator
|
1f5441f8f1bb82a7e42545e8883bbac6b450ff3c
|
[
"MIT"
] | null | null | null |
from app import create_app
def build_app():
# Create and set up the app
app = create_app()
return app
| 14.5
| 31
| 0.663793
| 19
| 116
| 3.894737
| 0.578947
| 0.243243
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.275862
| 116
| 7
| 32
| 16.571429
| 0.880952
| 0.215517
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e67b10c6edbb07d19e9fc0fceeb2798f17724a25
| 333
|
py
|
Python
|
app/api/routes.py
|
Virtual-Commissioning/VC-HVAC_statistics-Service
|
079a09b1762a1a1c16ff572bd689f8320b7ac0b3
|
[
"CC0-1.0"
] | null | null | null |
app/api/routes.py
|
Virtual-Commissioning/VC-HVAC_statistics-Service
|
079a09b1762a1a1c16ff572bd689f8320b7ac0b3
|
[
"CC0-1.0"
] | 1
|
2022-02-03T12:48:50.000Z
|
2022-02-03T12:48:50.000Z
|
app/api/routes.py
|
Virtual-Commissioning/VC-HVAC_statistics-Service
|
079a09b1762a1a1c16ff572bd689f8320b7ac0b3
|
[
"CC0-1.0"
] | null | null | null |
from app import app
from flask import request
from app.services import hvac_statistics
@app.route('/')
@app.route('/statistics_calculator', methods=['POST'])
def statistics_calculator():
data = request.get_data()
hvac_statistics_calculated = hvac_statistics.statistics_calculation(data)
return hvac_statistics_calculated
| 33.3
| 77
| 0.792793
| 41
| 333
| 6.195122
| 0.439024
| 0.220472
| 0.188976
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 333
| 10
| 78
| 33.3
| 0.858108
| 0
| 0
| 0
| 0
| 0
| 0.080838
| 0.065868
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0.333333
| 0
| 0.555556
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
e6aa864a8bfef660a783a190b5bd36aef3a86a38
| 240
|
py
|
Python
|
django_allauth_webauthn/admin.py
|
CyberDeck/django-allauth-webauthn
|
c4d5445859a3994b7e9468613ac6918c50e6748b
|
[
"MIT"
] | 1
|
2021-11-02T03:08:28.000Z
|
2021-11-02T03:08:28.000Z
|
django_allauth_webauthn/admin.py
|
CyberDeck/django-allauth-webauthn
|
c4d5445859a3994b7e9468613ac6918c50e6748b
|
[
"MIT"
] | null | null | null |
django_allauth_webauthn/admin.py
|
CyberDeck/django-allauth-webauthn
|
c4d5445859a3994b7e9468613ac6918c50e6748b
|
[
"MIT"
] | 1
|
2021-11-17T20:32:07.000Z
|
2021-11-17T20:32:07.000Z
|
from django.contrib import admin
from .models import WebauthnData
@admin.register(WebauthnData)
class WebauthnDataAdmin(admin.ModelAdmin):
search_fields = ["name", "credential_id"]
list_display = ["user", "name", "last_used_on"]
| 24
| 51
| 0.75
| 28
| 240
| 6.25
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.129167
| 240
| 9
| 52
| 26.666667
| 0.837321
| 0
| 0
| 0
| 0
| 0
| 0.154167
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.833333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
e6b94ffdfca56bc8ef4186f8461f0c933b7df04e
| 133
|
py
|
Python
|
src_updater/cxfreeze.py
|
Zamiell/RebirthItemTracker-1
|
d5515b0680de90b7a5d5d507f7d4e32a8cead5b1
|
[
"BSD-2-Clause"
] | 23
|
2021-04-03T01:45:41.000Z
|
2022-03-30T12:57:56.000Z
|
src_updater/cxfreeze.py
|
Zamiell/RebirthItemTracker-1
|
d5515b0680de90b7a5d5d507f7d4e32a8cead5b1
|
[
"BSD-2-Clause"
] | 8
|
2021-04-02T20:13:11.000Z
|
2022-03-21T23:20:55.000Z
|
src_updater/cxfreeze.py
|
Zamiell/RebirthItemTracker-1
|
d5515b0680de90b7a5d5d507f7d4e32a8cead5b1
|
[
"BSD-2-Clause"
] | 7
|
2021-04-04T18:54:24.000Z
|
2022-03-11T19:36:04.000Z
|
#cx freeze is for making a windows exe. this file is used by the release script to invoke it
from cx_Freeze import main
main.main()
| 26.6
| 92
| 0.774436
| 26
| 133
| 3.923077
| 0.807692
| 0.156863
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.18797
| 133
| 4
| 93
| 33.25
| 0.944444
| 0.684211
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
e6fb2498ba35582f3d42cc139fe51cccf5278f96
| 252
|
py
|
Python
|
editor/tasks/__init__.py
|
iamsayem/smart-editor
|
012ad2775cd33247642c629a2a92ec89e4462412
|
[
"MIT"
] | null | null | null |
editor/tasks/__init__.py
|
iamsayem/smart-editor
|
012ad2775cd33247642c629a2a92ec89e4462412
|
[
"MIT"
] | null | null | null |
editor/tasks/__init__.py
|
iamsayem/smart-editor
|
012ad2775cd33247642c629a2a92ec89e4462412
|
[
"MIT"
] | null | null | null |
"""
Created by Sayem on 06 March, 2021
All rights reserved. Copyright © 2020.
"""
from .tasks import expire_key_provide_warning_and_decrypt_existing_data
__author__ = "Sayem"
__all__ = ["expire_key_provide_warning_and_decrypt_existing_data"]
| 25.2
| 71
| 0.785714
| 35
| 252
| 5.057143
| 0.714286
| 0.101695
| 0.180791
| 0.259887
| 0.508475
| 0.508475
| 0.508475
| 0.508475
| 0
| 0
| 0
| 0.046083
| 0.138889
| 252
| 9
| 72
| 28
| 0.764977
| 0.289683
| 0
| 0
| 0
| 0
| 0.349693
| 0.319018
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
fc1ba82d6bc4315d830cb02a7dc94c57ef270d80
| 1,840
|
py
|
Python
|
deep500/lv2/event.py
|
khoaideptrai/deep500
|
0953038f64bc73c8d41d01796e07d3a23ca97822
|
[
"BSD-3-Clause"
] | 90
|
2019-01-02T22:49:08.000Z
|
2022-02-17T21:11:38.000Z
|
deep500/lv2/event.py
|
khoaideptrai/deep500
|
0953038f64bc73c8d41d01796e07d3a23ca97822
|
[
"BSD-3-Clause"
] | 4
|
2019-02-14T16:19:06.000Z
|
2022-01-11T17:54:42.000Z
|
deep500/lv2/event.py
|
khoaideptrai/deep500
|
0953038f64bc73c8d41d01796e07d3a23ca97822
|
[
"BSD-3-Clause"
] | 24
|
2019-01-09T18:09:44.000Z
|
2022-01-10T13:04:42.000Z
|
from deep500 import Event
from deep500.lv2.summaries import TrainingStatistics
class StopTraining(Exception):
pass
class TrainingEvent(Event):
""" Any event that relates to Deep500's Level 2. """
pass
class OptimizerEvent(TrainingEvent):
""" Optimizer events. """
def before_optimizer_step(self, executor, optimizer, inputs):
pass
def after_optimizer_step(self, executor, optimizer, outputs, loss):
pass
class SamplerEvent(TrainingEvent):
""" Data staging and sampling events. """
def on_sampler_reset(self, sampler):
pass
def before_sampling(self, sampler, minibatch_size):
pass
def after_sampling(self, sampler, samples):
pass
class RunnerEvent(TrainingEvent):
""" Training/test set loop events. """
def before_training(self, runner, training_stats: TrainingStatistics):
pass
def after_training(self, runner, training_stats: TrainingStatistics):
pass
def before_training_set(self, runner, training_stats: TrainingStatistics,
sampler):
pass
def after_training_set(self, runner, training_stats: TrainingStatistics):
pass
def before_test_set(self, runner, training_stats: TrainingStatistics,
sampler):
pass
def after_test_set(self, runner, training_stats: TrainingStatistics):
pass
def before_epoch(self, epoch, runner, training_stats: TrainingStatistics):
pass
def after_epoch(self, epoch, runner, training_stats: TrainingStatistics):
pass
def before_test_batch(self, runner, training_stats: TrainingStatistics, input):
pass
def after_test_batch(self, runner, training_stats: TrainingStatistics, output):
pass
| 27.878788
| 83
| 0.668478
| 191
| 1,840
| 6.256545
| 0.277487
| 0.070293
| 0.158996
| 0.309623
| 0.570711
| 0.513808
| 0.513808
| 0.408368
| 0.297908
| 0.105439
| 0
| 0.008029
| 0.255435
| 1,840
| 65
| 84
| 28.307692
| 0.864234
| 0.070652
| 0
| 0.463415
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.365854
| false
| 0.414634
| 0.04878
| 0
| 0.536585
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
fc3c692100c493b8417e66da8fb117604d1117c1
| 226
|
py
|
Python
|
tavern/testutils/pytesthook/__init__.py
|
brenordv/tavern
|
f88f954c0bfc0883c3027ab009a74e65fd892f67
|
[
"MIT"
] | 3
|
2020-04-17T15:30:51.000Z
|
2020-08-15T05:51:38.000Z
|
tavern/testutils/pytesthook/__init__.py
|
brenordv/tavern
|
f88f954c0bfc0883c3027ab009a74e65fd892f67
|
[
"MIT"
] | null | null | null |
tavern/testutils/pytesthook/__init__.py
|
brenordv/tavern
|
f88f954c0bfc0883c3027ab009a74e65fd892f67
|
[
"MIT"
] | 1
|
2020-04-19T10:08:50.000Z
|
2020-04-19T10:08:50.000Z
|
from .hooks import pytest_collect_file, pytest_addoption, pytest_addhooks
from .util import add_parser_options
__all__ = [
"pytest_addoption",
"pytest_collect_file",
"pytest_addhooks",
"add_parser_options",
]
| 22.6
| 73
| 0.761062
| 27
| 226
| 5.777778
| 0.481481
| 0.166667
| 0.217949
| 0.294872
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.154867
| 226
| 9
| 74
| 25.111111
| 0.816754
| 0
| 0
| 0
| 0
| 0
| 0.300885
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
fc530c808417662854ad642f79b36d29b26c6055
| 413
|
py
|
Python
|
src/locations/admin_actions.py
|
mrts/foodbank-campaign
|
fbb059f3ebe44dccde4895964242b105421a69d1
|
[
"MIT"
] | 1
|
2021-03-20T10:14:21.000Z
|
2021-03-20T10:14:21.000Z
|
src/locations/admin_actions.py
|
mrts/foodbank-campaign
|
fbb059f3ebe44dccde4895964242b105421a69d1
|
[
"MIT"
] | 4
|
2018-03-24T21:49:02.000Z
|
2021-01-13T21:31:44.000Z
|
src/locations/admin_actions.py
|
mrts/foodbank-campaign
|
fbb059f3ebe44dccde4895964242b105421a69d1
|
[
"MIT"
] | 3
|
2018-04-15T16:34:46.000Z
|
2019-11-13T16:38:05.000Z
|
from django.shortcuts import render
from django.utils.translation import ugettext_lazy as _
def list_volunteers_by_shift_and_location(modeladmin, request, queryset):
return render(request,
'locations/list_volunteers_by_shift_and_location.html',
context = {'locations': queryset})
list_volunteers_by_shift_and_location.short_description = _('List of volunteers by location and shift')
| 45.888889
| 103
| 0.789346
| 52
| 413
| 5.903846
| 0.519231
| 0.156352
| 0.156352
| 0.205212
| 0.312704
| 0.312704
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 413
| 8
| 104
| 51.625
| 0.867232
| 0
| 0
| 0
| 0
| 0
| 0.244552
| 0.125908
| 0
| 0
| 0
| 0
| 0
| 1
| 0.142857
| false
| 0
| 0.285714
| 0.142857
| 0.571429
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
fc5ac0ae78e4a7a0bf263a12617a4fe27195e50d
| 2,101
|
py
|
Python
|
third_party/python/Lib/test/test_sundry.py
|
appotry/cosmopolitan
|
af4687cc3f2331a23dc336183ab58fe001cda082
|
[
"ISC"
] | 36
|
2019-06-07T20:44:06.000Z
|
2022-03-23T06:19:43.000Z
|
third_party/python/Lib/test/test_sundry.py
|
appotry/cosmopolitan
|
af4687cc3f2331a23dc336183ab58fe001cda082
|
[
"ISC"
] | 3
|
2021-11-19T11:12:39.000Z
|
2021-11-27T03:00:35.000Z
|
third_party/python/Lib/test/test_sundry.py
|
appotry/cosmopolitan
|
af4687cc3f2331a23dc336183ab58fe001cda082
|
[
"ISC"
] | 28
|
2019-06-27T04:11:27.000Z
|
2022-03-11T06:27:44.000Z
|
"""Do a minimal test of all the modules that aren't otherwise tested."""
import importlib
import sys
from test import support
import unittest
class TestUntestedModules(unittest.TestCase):
def test_untested_modules_can_be_imported(self):
untested = ('encodings', 'formatter', 'nturl2path', 'tabnanny')
with support.check_warnings(quiet=True):
for name in untested:
try:
support.import_module('test.test_{}'.format(name))
except unittest.SkipTest:
importlib.import_module(name)
else:
self.fail('{} has tests even though test_sundry claims '
'otherwise'.format(name))
import distutils.bcppcompiler
import distutils.ccompiler
import distutils.cygwinccompiler
import distutils.filelist
import distutils.text_file
import distutils.unixccompiler
import distutils.command.bdist_dumb
if sys.platform.startswith('win'):
import distutils.command.bdist_msi
import distutils.command.bdist
import distutils.command.bdist_rpm
import distutils.command.bdist_wininst
import distutils.command.build_clib
import distutils.command.build_ext
import distutils.command.build
import distutils.command.clean
import distutils.command.config
import distutils.command.install_data
import distutils.command.install_egg_info
import distutils.command.install_headers
import distutils.command.install_lib
import distutils.command.register
import distutils.command.sdist
import distutils.command.upload
import html.entities
try:
import tty # Not available on Windows
except ImportError:
if support.verbose:
print("skipping tty")
if __name__ == "__main__":
unittest.main()
| 36.859649
| 76
| 0.612565
| 204
| 2,101
| 6.161765
| 0.47549
| 0.274463
| 0.297534
| 0.107399
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.000706
| 0.325559
| 2,101
| 56
| 77
| 37.517857
| 0.88638
| 0.043789
| 0
| 0.041667
| 0
| 0
| 0.061907
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.020833
| false
| 0
| 0.6875
| 0
| 0.729167
| 0.020833
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
fc65b103b4f95ee0ec89b6c8addb126acabc16a0
| 195
|
py
|
Python
|
blockchain/routing.py
|
pincoin/blockchain-example
|
afd5ddf84851b6c8b40da89ff90fbe7577923b26
|
[
"MIT"
] | null | null | null |
blockchain/routing.py
|
pincoin/blockchain-example
|
afd5ddf84851b6c8b40da89ff90fbe7577923b26
|
[
"MIT"
] | 7
|
2019-12-04T23:36:31.000Z
|
2021-06-09T18:01:13.000Z
|
blockchain/routing.py
|
pincoin/pincoin-bak
|
afd5ddf84851b6c8b40da89ff90fbe7577923b26
|
[
"MIT"
] | null | null | null |
from django.urls import path
from . import consumers
websocket_urlpatterns = [
path('ws/blockchain/peer', consumers.PeerConsumer),
path('ws/blockchain/echo', consumers.EchoConsumer),
]
| 21.666667
| 55
| 0.748718
| 22
| 195
| 6.590909
| 0.636364
| 0.082759
| 0.22069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 195
| 8
| 56
| 24.375
| 0.857988
| 0
| 0
| 0
| 0
| 0
| 0.184615
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
fc6882de84561473c24a8965dff0a63c1330173a
| 571
|
py
|
Python
|
tests/fixtures/audio.py
|
NickleDave/vocles
|
897cff032af845b0a49af4a0bfdd1a3195b677a9
|
[
"BSD-3-Clause"
] | 2
|
2022-01-17T14:43:38.000Z
|
2022-01-17T14:52:14.000Z
|
tests/fixtures/audio.py
|
NickleDave/vocles
|
897cff032af845b0a49af4a0bfdd1a3195b677a9
|
[
"BSD-3-Clause"
] | 2
|
2022-01-18T13:54:17.000Z
|
2022-01-21T13:41:02.000Z
|
tests/fixtures/audio.py
|
NickleDave/vocles
|
897cff032af845b0a49af4a0bfdd1a3195b677a9
|
[
"BSD-3-Clause"
] | 2
|
2022-02-12T13:48:51.000Z
|
2022-03-27T20:55:01.000Z
|
"""fixtures relating to audio files"""
import pytest
@pytest.fixture
def audio_dir_cbin(source_test_data_root):
return source_test_data_root.joinpath("audio_cbin_annot_notmat", "gy6or6", "032312")
@pytest.fixture
def audio_list_cbin(audio_dir_cbin):
return sorted(audio_dir_cbin.glob("*.cbin"))
@pytest.fixture
def audio_dir_wav(source_test_data_root):
return source_test_data_root.joinpath(
"audio_wav_annot_birdsongrec", "Bird0", "Wave"
)
@pytest.fixture
def audio_list_wav(audio_dir_wav):
return sorted(audio_dir_wav.glob("*.wav"))
| 22.84
| 88
| 0.763573
| 83
| 571
| 4.843373
| 0.337349
| 0.119403
| 0.159204
| 0.208955
| 0.517413
| 0.273632
| 0.273632
| 0.273632
| 0.273632
| 0.273632
| 0
| 0.017928
| 0.120841
| 571
| 24
| 89
| 23.791667
| 0.782869
| 0.056042
| 0
| 0.266667
| 0
| 0
| 0.153846
| 0.093809
| 0
| 0
| 0
| 0
| 0
| 1
| 0.266667
| false
| 0
| 0.066667
| 0.266667
| 0.6
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
fc7eb3a0dbeadd11aeffbf1b286308d3db4a6545
| 232
|
py
|
Python
|
terrascript/resource/cappyzawa/concourse.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 507
|
2017-07-26T02:58:38.000Z
|
2022-01-21T12:35:13.000Z
|
terrascript/resource/cappyzawa/concourse.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 135
|
2017-07-20T12:01:59.000Z
|
2021-10-04T22:25:40.000Z
|
terrascript/resource/cappyzawa/concourse.py
|
mjuenema/python-terrascript
|
6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d
|
[
"BSD-2-Clause"
] | 81
|
2018-02-20T17:55:28.000Z
|
2022-01-31T07:08:40.000Z
|
# terrascript/resource/cappyzawa/concourse.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:14:28 UTC)
import terrascript
class concourse_team(terrascript.Resource):
pass
__all__ = [
"concourse_team",
]
| 17.846154
| 73
| 0.758621
| 29
| 232
| 5.862069
| 0.758621
| 0.223529
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.06
| 0.137931
| 232
| 12
| 74
| 19.333333
| 0.79
| 0.49569
| 0
| 0
| 1
| 0
| 0.122807
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.166667
| 0.166667
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
fc8095d7448465871daee87e4a89aa6e0651a07d
| 303
|
py
|
Python
|
pyinformix/__init__.py
|
homedepot/pyinformix
|
06a037510f79d12557a0dc0b795e2a92eb79ecb3
|
[
"Apache-2.0"
] | null | null | null |
pyinformix/__init__.py
|
homedepot/pyinformix
|
06a037510f79d12557a0dc0b795e2a92eb79ecb3
|
[
"Apache-2.0"
] | null | null | null |
pyinformix/__init__.py
|
homedepot/pyinformix
|
06a037510f79d12557a0dc0b795e2a92eb79ecb3
|
[
"Apache-2.0"
] | null | null | null |
from sqlalchemy.dialects import registry
__version__ = '0.1.0.post1'
registry.register('informix', 'pyinformix.ibm_db', 'InformixDialect')
registry.register('informix.ibm_db', 'pyinformix.ibm_db', 'InformixDialect')
registry.register('informix.ifx_jdbc', 'pyinformix.ifx_jdbc', 'InformixJDBCDialect')
| 37.875
| 84
| 0.792079
| 35
| 303
| 6.6
| 0.514286
| 0.207792
| 0.311688
| 0.25974
| 0.467532
| 0.467532
| 0.467532
| 0
| 0
| 0
| 0
| 0.014035
| 0.059406
| 303
| 7
| 85
| 43.285714
| 0.796491
| 0
| 0
| 0
| 0
| 0
| 0.504951
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
fc9411b57422bff7786a216b1a7512c61cab5ec3
| 77
|
py
|
Python
|
setup.py
|
jgotanegra/wallet
|
cc746de4123eefef5c3148120593151536e381ef
|
[
"MIT"
] | 15
|
2019-05-01T06:21:41.000Z
|
2021-12-31T10:18:51.000Z
|
setup.py
|
jackyjqcheung/eth-wallet
|
cc746de4123eefef5c3148120593151536e381ef
|
[
"MIT"
] | 17
|
2019-04-17T16:24:59.000Z
|
2021-11-06T04:14:57.000Z
|
setup.py
|
jackyjqcheung/eth-wallet
|
cc746de4123eefef5c3148120593151536e381ef
|
[
"MIT"
] | 8
|
2019-05-03T14:56:47.000Z
|
2022-01-14T14:08:25.000Z
|
#!/usr/bin/python3
from setuptools import setup
setup(use_scm_version=True)
| 15.4
| 28
| 0.805195
| 12
| 77
| 5
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014286
| 0.090909
| 77
| 4
| 29
| 19.25
| 0.842857
| 0.220779
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
fc9dee027f4e37d89121bf1b62e0549b66d7cce2
| 18
|
py
|
Python
|
cloudmesh/kubeman/__version__.py
|
cloudmesh/cloudmesh-kubeman
|
a2440cf3efddd573d07f7813567561540f6d385a
|
[
"Apache-2.0"
] | 1
|
2022-03-14T18:20:21.000Z
|
2022-03-14T18:20:21.000Z
|
cloudmesh/kubeman/__version__.py
|
cloudmesh/cloudmesh-kubeman
|
a2440cf3efddd573d07f7813567561540f6d385a
|
[
"Apache-2.0"
] | 15
|
2022-02-09T15:59:02.000Z
|
2022-03-03T00:20:29.000Z
|
cloudmesh/kubeman/__version__.py
|
cloudmesh/cloudmesh-kubeman
|
a2440cf3efddd573d07f7813567561540f6d385a
|
[
"Apache-2.0"
] | 2
|
2022-03-12T02:50:50.000Z
|
2022-03-14T03:56:54.000Z
|
version = "4.3.4"
| 9
| 17
| 0.555556
| 4
| 18
| 2.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 0.166667
| 18
| 1
| 18
| 18
| 0.466667
| 0
| 0
| 0
| 0
| 0
| 0.277778
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5d86595ad593e0db5398b6e1b5934e647451117f
| 8,668
|
py
|
Python
|
python/tests/data.py
|
kngwyu/rogue-gym
|
00de77e6c9f3d2b9ed602f93abb5526c13791ca9
|
[
"Apache-2.0",
"MIT"
] | 67
|
2018-11-29T03:05:59.000Z
|
2022-02-23T20:05:21.000Z
|
python/tests/data.py
|
kngwyu/rogue-gym
|
00de77e6c9f3d2b9ed602f93abb5526c13791ca9
|
[
"Apache-2.0",
"MIT"
] | 2
|
2019-02-27T10:44:05.000Z
|
2022-03-05T22:25:49.000Z
|
python/tests/data.py
|
kngwyu/rogue-gym
|
00de77e6c9f3d2b9ed602f93abb5526c13791ca9
|
[
"Apache-2.0",
"MIT"
] | 6
|
2020-05-11T01:37:53.000Z
|
2022-03-05T20:56:19.000Z
|
SEED1_DUNGEON = [
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ... ',
' .@. ',
' ... ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ']
CMD_STR = 'kHhhKK'
CMD_STR5 = 'llljln'
SEED1_DUNGEON2 = [
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' --- ',
' +@. ',
' |.S ',
' | ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ']
SEED1_DUNGEON3 = [
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' S.. ',
' .@. ',
' +-- ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ',
' ']
SEED1_DUNGEON_CLEAR = [
' ',
'######################### ----------------- -------------------- ',
' # |.............*.| |..................| ',
'####### ############# ### ######+...............| |...*...........%..| ',
'# # # # # # |...............+##+..................| ',
'### ##### ############*###### ---------------+- --+----------------- ',
' # # ### ',
' ############## ######## # ',
' # ---------------+- # ',
' -----+- ############+...............| -+---- ',
' |.....| # |...............| #######+....| ',
' |.....+###### |......*........+## |..*.| ',
' |....*| |...............| |....| ',
' ----+-- |...............| ------ ',
' ### --------+-------- ',
' # #### ',
' ----+----------- -+-------- --------------- ',
' |..............| |........| |........*....| ',
' |..............| |.......*| |.............| ',
' |.....*........+###### |........| #+.............| ',
' |............@.| #########+........+#####################|.............| ',
' ---------------- ---------- --------------- ',
' ',
' ']
CMD_STR2 = 'kLLjLlKkLkkLKkLKklLlkLL>'
CMD_STR3 = 'nLLLlnl>'
CMD_STR4 = 'JHHKHJHKLKHKHKKlllll>'
| 77.392857
| 87
| 0.018805
| 26
| 8,668
| 5.884615
| 0.653846
| 0.156863
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007628
| 0.848754
| 8,668
| 111
| 88
| 78.09009
| 0.109077
| 0
| 0
| 0.67619
| 0
| 0
| 0.893516
| 0.027457
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5d95f60f799fed7b38e00057d0468d6ee07f75ba
| 5,342
|
py
|
Python
|
lib/galaxy/webapps/galaxy/api/group_users.py
|
bopopescu/phyG
|
023f505b705ab953f502cbc55e90612047867583
|
[
"CC-BY-3.0"
] | 2
|
2016-02-23T00:09:14.000Z
|
2019-02-11T07:48:44.000Z
|
lib/galaxy/webapps/galaxy/api/group_users.py
|
bopopescu/phyG
|
023f505b705ab953f502cbc55e90612047867583
|
[
"CC-BY-3.0"
] | null | null | null |
lib/galaxy/webapps/galaxy/api/group_users.py
|
bopopescu/phyG
|
023f505b705ab953f502cbc55e90612047867583
|
[
"CC-BY-3.0"
] | 6
|
2015-05-27T13:09:50.000Z
|
2019-02-11T07:48:46.000Z
|
"""
API operations on Group objects.
"""
import logging
from galaxy.web.base.controller import BaseAPIController, url_for
from galaxy import web
log = logging.getLogger( __name__ )
class GroupUsersAPIController( BaseAPIController ):
@web.expose_api
@web.require_admin
def index( self, trans, group_id, **kwd ):
"""
GET /api/groups/{encoded_group_id}/users
Displays a collection (list) of groups.
"""
decoded_group_id = trans.security.decode_id( group_id )
try:
group = trans.sa_session.query( trans.app.model.Group ).get( decoded_group_id )
except:
group = None
if not group:
trans.response.status = 400
return "Invalid group id ( %s ) specified." % str( group_id )
rval = []
try:
for uga in group.users:
user = uga.user
encoded_id = trans.security.encode_id( user.id )
rval.append( dict( id = encoded_id,
email = user.email,
url = url_for( 'group_user', group_id=group_id, id=encoded_id, ) ) )
except Exception, e:
rval = "Error in group API at listing users"
log.error( rval + ": %s" % str(e) )
trans.response.status = 500
return rval
@web.expose_api
@web.require_admin
def show( self, trans, id, group_id, **kwd ):
"""
GET /api/groups/{encoded_group_id}/users/{encoded_user_id}
Displays information about a group user.
"""
user_id = id
decoded_group_id = trans.security.decode_id( group_id )
decoded_user_id = trans.security.decode_id( user_id )
item = None
try:
group = trans.sa_session.query( trans.app.model.Group ).get( decoded_group_id )
user = trans.sa_session.query( trans.app.model.User ).get( decoded_user_id )
for uga in group.users:
if uga.user == user:
item = dict( id = user_id,
email = user.email,
url = url_for( 'group_user', group_id=group_id, id=user_id) ) # TODO Fix This
if not item:
item = "user %s not in group %s" % (user.email,group.name)
except Exception, e:
item = "Error in group_user API group %s user %s" % (group.name, user.email)
log.error(item + ": %s" % str(e))
return item
@web.expose_api
@web.require_admin
def update( self, trans, id, group_id, **kwd ):
"""
PUT /api/groups/{encoded_group_id}/users/{encoded_user_id}
Adds a user to a group
"""
user_id = id
decoded_group_id = trans.security.decode_id( group_id )
decoded_user_id = trans.security.decode_id( user_id )
item = None
try:
group = trans.sa_session.query( trans.app.model.Group ).get( decoded_group_id )
user = trans.sa_session.query( trans.app.model.User ).get( decoded_user_id )
for uga in group.users:
if uga.user == user:
item = dict( id = user_id,
email = user.email,
url = url_for( 'group_user', group_id=group_id, id=user_id) )
if not item:
uga = trans.app.model.UserGroupAssociation( user, group )
# Add UserGroupAssociations
trans.sa_session.add( uga )
trans.sa_session.flush()
item = dict( id = user_id,
email = user.email,
url = url_for( 'group_user', group_id=group_id, id=user_id) )
except Exception, e:
item = "Error in group_user API Adding user %s to group %s" % (user.email,group.name)
log.error(item + ": %s" % str(e))
return item
@web.expose_api
@web.require_admin
def delete( self, trans, id, group_id, **kwd ):
"""
DELETE /api/groups/{encoded_group_id}/users/{encoded_user_id}
Removes a user from a group
"""
user_id = id
decoded_group_id = trans.security.decode_id( group_id )
decoded_user_id = trans.security.decode_id( user_id )
try:
group = trans.sa_session.query( trans.app.model.Group ).get( decoded_group_id )
user = trans.sa_session.query( trans.app.model.User ).get( decoded_user_id )
for uga in group.users:
if uga.user == user:
trans.sa_session.delete( uga )
trans.sa_session.flush()
item = dict( id = user_id,
email = user.email,
url = url_for( 'group_user', group_id=group_id, id=user_id) )
if not item:
item = "user %s not in group %s" % (user.email,group.name)
except Exception, e:
item = "Error in group_user API Removing user %s from group %s" % (user.email,group.name)
log.error(item + ": %s" % str(e))
return item
| 42.736
| 113
| 0.528641
| 642
| 5,342
| 4.207165
| 0.143302
| 0.082932
| 0.039985
| 0.054424
| 0.718253
| 0.711588
| 0.691966
| 0.669752
| 0.669752
| 0.605331
| 0
| 0.001791
| 0.372707
| 5,342
| 124
| 114
| 43.080645
| 0.804238
| 0.007301
| 0
| 0.704082
| 0
| 0
| 0.069757
| 0
| 0
| 0
| 0
| 0.008065
| 0
| 0
| null | null | 0.010204
| 0.030612
| null | null | 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5db055144eb506d4ff8f89c0e19227a56de3c9f2
| 29,329
|
py
|
Python
|
signal_WT_RN7.py
|
GUO-Liping/SignalProcessing
|
8625eef788adddd967455e1b675fca7ac3569a6b
|
[
"Apache-2.0"
] | 3
|
2021-01-24T08:02:33.000Z
|
2021-08-15T13:19:11.000Z
|
signal_WT_RN7.py
|
GUO-Liping/SignalProcessing
|
8625eef788adddd967455e1b675fca7ac3569a6b
|
[
"Apache-2.0"
] | null | null | null |
signal_WT_RN7.py
|
GUO-Liping/SignalProcessing
|
8625eef788adddd967455e1b675fca7ac3569a6b
|
[
"Apache-2.0"
] | null | null | null |
import numpy as np
import matplotlib.pyplot as plt
import pywt
#import pywt.data
#import pandas as pd
def func_round(number):
if number >= 0:
if number - int(number) >= 0.5:
return int(number) + 1
else:
return int(number)
elif number < 0:
if number - int(number)<=-0.5:
return int(number) - 1
else:
return int(number)
else:
print("请检查输入！")
def diff_2point(data_x, data_y):
diff_data=np.zeros_like(data_y)
for i in range(len(data_y)-1):
timestep = data_x[i+1] - data_x[i]
data_step = (data_y[i+1] - data_y[i])
diff_data[i] = data_step/timestep
diff_data[-1] = (data_y[-1]-data_y[-2])/timestep
return diff_data
# 该函数是用于将采样频率混合125Hz，250Hz，500Hz的位移捕捉离散信号通过线性插值调整为采样频率统一为最大频率500Hz的采样信号
def func_update_disp(para_time, para_disp, target_freq):
max_freq = 1000
timestep = 1/max_freq
time_maxnum = np.arange(para_time[0], para_time[-1]+timestep, timestep)
disp_maxnum = np.zeros_like(time_maxnum)
s = 0
for i in range(len(para_time)-1):
# python取整函数int为向零方向取整，一定要注意一下，round为四舍五入函数，可以取整到小数位
count = func_round((para_time[i+1] - para_time[i])/timestep)
disp_step = (para_disp[i+1] - para_disp[i])/count
s = s + count
for j in range (count):
disp_maxnum[s-count+j] = para_disp[i]+j*disp_step
disp_maxnum[-1] = para_disp[-1]
if max_freq%target_freq==0:
timestep = 1 / target_freq
time_update = np.arange(para_time[0], para_time[-1], timestep)
disp_update = np.zeros_like(time_update)
amp = func_round(max_freq/target_freq)
for k in range (len(time_update)):
disp_update[k] = disp_maxnum[amp*k]
else:
print('最大采样频率与目标频率不为整数倍关系！')
return [time_update, disp_update]
def func_SNR(data):
A_signal = np.max(data) - np.min(data)
sub_data = data[1:] - data[:-1]
A_noise = np.maximum(np.abs(np.max(sub_data)),np.abs(np.min(sub_data)))
return 20*np.log10(A_signal/A_noise)
# time series与disp_series 为位移时程的捕捉原始数据，包含了采样频率为500Hz，采样频率为250Hz，采样频率为125Hz等不同的时间间隔
time_series = np.array([0,0.002,0.004,0.006,0.008,0.01,0.012,0.014,0.016,0.018,0.02,0.022,0.024,0.026,0.028,0.03,0.032,0.034,0.036,0.038,0.04,0.042,0.044,0.046,0.048,0.05,0.052,0.054,0.056,0.058,0.06,0.062,0.064,0.066,0.068,0.07,0.072,0.074,0.076,0.078,0.08,0.082,0.084,0.086,0.088,0.09,0.092,0.094,0.096,0.098,0.1,0.102,0.104,0.106,0.108,0.11,0.112,0.114,0.116,0.118,0.12,0.122,0.124,0.126,0.128,0.13,0.132,0.134,0.136,0.138,0.14,0.142,0.144,0.146,0.148,0.15,0.152,0.154,0.156,0.158,0.16,0.162,0.164,0.166,0.168,0.17,0.172,0.174,0.176,0.178,0.18,0.182,0.184,0.186,0.188,0.19,0.192,0.194,0.196,0.198,0.2,0.202,0.204,0.206,0.208,0.21,0.212,0.214,0.216,0.218,0.22,0.222,0.224,0.226,0.228,0.23,0.232,0.234,0.236,0.238,0.24,0.242,0.244,0.246,0.248,0.25,0.252,0.254,0.256,0.258,0.26,0.262,0.264,0.266,0.268,0.27,0.272,0.274,0.276,0.278,0.28,0.282,0.284,0.286,0.288,0.29,0.292,0.294,0.296,0.298,0.3,0.302,0.304,0.306,0.308,0.31,0.312,0.314,0.316,0.318,0.32,0.322,0.324,0.326,0.328,0.33,0.332,0.334,0.336,0.338,0.34,0.342,0.344,0.346,0.348,0.35,0.352,0.354,0.356,0.358,0.36,0.362,0.364,0.366,0.368,0.37,0.372,0.374,0.376,0.378,0.38,0.382,0.384,0.386,0.388,0.39,0.392,0.394,0.396,0.398,0.4,0.402,0.404,0.406,0.408,0.41,0.412,0.414,0.416,0.418,0.42,0.422,0.424,0.426,0.428,0.43,0.432,0.434,0.436,0.438,0.44,0.442,0.444,0.446,0.448,0.45,0.452,0.454,0.456,0.458,0.46,0.462,0.464,0.466,0.468,0.47,0.472,0.474,0.476,0.478,0.48,0.482,0.484,0.486,0.488,0.49,0.492,0.494,0.496,0.498,0.5,0.502,0.504,0.506,0.508,0.51,0.512,0.514,0.516,0.518,0.52,0.522,0.524,0.526,0.528,0.53,0.532,0.534,0.536,0.538,0.54,0.542,0.544,0.546,0.548,0.55,0.552,0.554,0.556,0.558,0.56,0.562,0.564,0.566,0.568,0.57,0.572,0.574,0.576,0.578,0.58,0.582,0.584,0.586,0.588,0.59,0.592,0.594,0.596,0.598,0.6,0.602,0.604,0.606,0.608,0.61,0.612,0.614,0.616,0.618,0.62,0.622,0.624,0.626,0.628,0.63,0.632,0.634,0.636,0.638,0.64,0.642,0.644,0.646,0.648,0.65,0.652,0.654,0.656,0.658,0.66,0.662,0.664,0.666,0.668,0.67,0.672,0.674,0.676,0.678,0.68,0.682,0.684,0.686,0.688,0.69,0.692,0.694,0.696,0.698,0.7,0.702,0.704,0.706,0.708,0.71,0.712,0.714,0.716,0.718,0.72,0.722,0.724,0.726,0.728,0.73,0.732,0.734,0.736,0.738,0.74,0.742,0.744,0.746,0.748,0.75,0.752,0.754,0.756,0.758,0.76,0.762,0.764,0.766,0.768,0.77,0.772,0.774,0.776,0.778,0.78,0.782,0.784,0.786,0.788,0.79,0.792,0.794,0.796,0.798,0.8,0.802,0.804,0.806,0.808,0.81,0.812,0.814,0.816,0.818,0.82,0.822,0.824,0.826,0.828,0.83,0.832,0.834,0.836,0.838,0.84,0.842,0.844,0.846,0.848,0.85,0.852,0.854,0.856,0.858,0.86,0.862,0.864,0.866,0.868,0.87,0.872,0.874,0.876,0.878,0.88,0.882,0.884,0.886,0.888,0.89,0.892,0.894,0.896,0.898,0.9,0.902,0.904,0.906,0.908,0.91,0.912,0.914,0.916,0.918,0.92,0.922,0.924,0.926,0.928,0.93,0.932,0.934,0.936,0.938,0.94,0.942,0.944,0.946,0.948,0.95,0.952,0.954,0.956,0.958,0.96,0.962,0.964,0.966,0.968,0.97,0.972,0.974,0.976,0.978,0.98,0.982,0.984,0.986,0.988,0.99,0.992,0.994,0.996,0.998,1,1.002,1.004,1.006,1.008,1.01,1.012,1.014,1.016,1.018,1.02,1.022,1.024,1.026,1.028,1.03,1.032,1.034,1.036,1.038,1.04,1.042,1.044,1.046,1.048,1.05,1.052,1.054,1.056,1.058,1.06,1.062,1.064,1.066,1.068,1.07,1.072,1.074,1.076,1.078,1.08,1.082,1.084,1.086,1.088,1.09,1.092,1.094,1.096,1.098,1.1,1.102,1.104,1.106,1.108,1.11,1.112,1.114,1.116,1.118,1.12,1.122,1.124,1.126,1.128,1.13,1.132,1.134,1.136,1.138,1.14,1.142,1.144,1.146,1.148,1.15,1.152,1.154,1.156,1.158,1.16,1.162,1.164,1.166,1.168,1.17,1.172,1.174,1.176,1.178,1.18,1.182,1.184,1.186,1.188,1.19,1.192,1.194,1.196,1.198,1.2,1.202,1.204,1.206,1.208,1.21,1.212,1.214,1.216,1.218,1.22,1.222,1.224,1.226,1.228,1.23,1.232,1.234,1.236,1.238,1.24,1.242,1.244,1.246,1.248,1.25,1.252,1.254,1.256,1.258,1.26,1.262,1.264,1.266,1.268,1.27,1.272,1.274,1.276,1.278,1.28,1.282,1.284,1.286,1.288,1.29,1.292,1.294,1.296,1.298,1.3,1.302,1.304,1.306,1.308,1.31,1.312,1.314,1.316,1.318,1.32,1.322,1.324,1.326,1.328,1.33,1.332,1.334,1.336,1.338,1.34,1.342,1.344,1.346,1.348,1.35,1.352,1.354,1.356,1.358,1.36,1.362,1.364,1.366,1.368,1.37,1.372,1.374,1.376,1.378,1.38,1.382,1.384,1.386,1.388,1.39,1.392,1.394,1.396,1.398,1.4,1.402,1.404,1.406,1.408,1.41,1.412,1.414,1.416,1.418,1.42,1.422,1.424,1.426,1.428,1.43,1.432,1.434,1.436,1.438,1.44,1.442,1.444,1.446,1.448,1.45,1.452,1.454,1.456,1.458,1.46,1.462,1.464,1.466,1.468,1.47,1.472,1.474,1.476,1.478,1.48,1.482,1.484,1.486,1.488,1.49,1.492,1.494,1.496,1.498,1.5,1.502,1.504,1.506,1.508,1.51,1.512,1.514,1.516,1.518,1.52,1.522,1.524,1.526,1.528,1.53,1.532,1.534,1.536,1.538,1.54,1.542,1.544,1.546,1.548,1.55,1.552,1.554,1.556,1.558,1.56,1.562,1.564,1.566,1.568,1.57,1.572,1.574,1.576,1.578,1.58,1.582,1.584,1.586,1.588,1.59,1.592,1.594,1.596,1.598,1.6,1.602,1.604,1.606,1.608,1.61,1.612,1.614,1.616,1.618,1.62,1.622,1.624,1.626,1.628,1.63,1.632,1.634,1.636,1.638,1.64,1.642,1.644,1.646,1.648,1.65,1.652,1.654,1.656,1.658,1.66,1.662,1.664,1.666,1.668,1.67,1.672,1.674,1.676,1.678,1.68,1.682,1.684,1.686,1.688,1.69,1.692,1.694,1.696,1.698,1.7,1.702,1.704,1.706,1.708,1.71,1.712,1.714,1.716,1.718,1.72,1.722,1.724,1.726,1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disp_series = 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time_updated, disp_updated = func_update_disp(time_series,disp_series, 500)
velo_numerical = diff_2point(time_updated, disp_updated)
acce_numerical = diff_2point(time_updated, velo_numerical)
print('SNR_dB_disp=', func_SNR(disp_updated))
print('SNR_dB_veolocity=', func_SNR(velo_numerical))
print('SNR_dB_acceleration=', func_SNR(acce_numerical))
plt.plot(time_updated, acce_numerical)
plt.show()
| 385.907895
| 18,645
| 0.732449
| 6,165
| 29,329
| 3.468289
| 0.232766
| 0.017772
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| 0.054672
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| 0
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| 0.010502
| 29,329
| 75
| 18,646
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| 1
| 0.064516
| false
| 0
| 0.048387
| 0
| 0.225806
| 0.080645
| 0
| 0
| 0
| null | 0
| 0
| 0
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| 0
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0
| 4
|
5db28dfa2a435fc146b888c9027917e91f316600
| 23,849
|
py
|
Python
|
badges.py
|
kaydee0502/kaggle-profile-card
|
cb9099b2ebe4963eb1d3dc819a7d61a50650243d
|
[
"MIT"
] | 5
|
2021-04-15T07:47:54.000Z
|
2021-04-17T13:20:39.000Z
|
badges.py
|
kaydee0502/kaggle-profile-card
|
cb9099b2ebe4963eb1d3dc819a7d61a50650243d
|
[
"MIT"
] | null | null | null |
badges.py
|
kaydee0502/kaggle-profile-card
|
cb9099b2ebe4963eb1d3dc819a7d61a50650243d
|
[
"MIT"
] | 3
|
2021-04-15T14:41:29.000Z
|
2021-04-17T01:18:31.000Z
|
class Badge:
def __init__(self,scale=1):
self.scale=scale
def gen_badge(self):
return {
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""",
"contributor" : f"""
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""",
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""",
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""",
"staff" : f"""
<g xmlns="http://www.w3.org/2000/svg" transform="translate({str(345*self.scale)},15),scale(0.5)">
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"""
}
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0
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|
5dd6fbd7971536b957ea7eb4ccf95ebb08f43e36
| 289
|
py
|
Python
|
flaskr/graphqlr/mixins.py
|
jeovazero/zoas-store-api-graphql
|
c2ef77a2b7abdfae7b492f901c879fd2d4f9e889
|
[
"MIT"
] | 3
|
2019-10-23T07:15:01.000Z
|
2020-05-18T16:11:31.000Z
|
flaskr/graphqlr/mixins.py
|
jeovazero/zoas-store-backend
|
c2ef77a2b7abdfae7b492f901c879fd2d4f9e889
|
[
"MIT"
] | 11
|
2019-04-23T23:50:53.000Z
|
2019-05-04T15:23:16.000Z
|
flaskr/graphqlr/mixins.py
|
jeovazero/zoas-store-backend
|
c2ef77a2b7abdfae7b492f901c879fd2d4f9e889
|
[
"MIT"
] | 1
|
2019-10-23T07:15:07.000Z
|
2019-10-23T07:15:07.000Z
|
from flask import session
import uuid
class SessionMixin:
@classmethod
def sid(cls):
return str(session["u"])
@classmethod
def create_session(cls):
session["u"] = uuid.uuid4()
@classmethod
def delete_session(cls):
session.pop("u", None)
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0
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|
5de1a5545ad6470c2fa2a1766b8d3984361267f1
| 5,698
|
py
|
Python
|
tests/test_scripts.py
|
center-for-threat-informed-defense/attack-control-framework-mappings
|
2a2fb4af3147a012dd03377931101c89d4eaef83
|
[
"Apache-2.0"
] | 269
|
2020-12-15T17:28:55.000Z
|
2022-03-31T19:05:55.000Z
|
tests/test_scripts.py
|
center-for-threat-informed-defense/attack-control-framework-mappings
|
2a2fb4af3147a012dd03377931101c89d4eaef83
|
[
"Apache-2.0"
] | 31
|
2020-12-17T21:44:32.000Z
|
2022-03-08T13:57:34.000Z
|
tests/test_scripts.py
|
center-for-threat-informed-defense/attack-control-framework-mappings
|
2a2fb4af3147a012dd03377931101c89d4eaef83
|
[
"Apache-2.0"
] | 51
|
2020-12-16T16:38:02.000Z
|
2022-03-15T04:20:34.000Z
|
import os
import pathlib
import subprocess
import sys
import pytest
@pytest.fixture()
def attack_domain():
return "enterprise-attack"
@pytest.fixture()
def dir_location():
cwd = os.getcwd()
if "tests" in cwd:
return os.path.dirname(cwd)
else:
return cwd
@pytest.mark.parametrize("attack_version", ["v8.2", "v9.0"])
@pytest.mark.parametrize("rev", ["nist800-53-r4", "nist800-53-r5"])
def test_list_mappings(dir_location, attack_domain, attack_version, rev):
"""Tests list_mappings.py with both framework entries"""
rx_controls = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"stix", f"{rev}-controls.json")
rx_mappings = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"stix", f"{rev}-mappings.json")
output_location = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
f"{rev}-mappings.xlsx")
script_location = f"{dir_location}/src/list_mappings.py"
child_process = subprocess.Popen([
sys.executable, script_location,
"-controls", str(rx_controls),
"-mappings", str(rx_mappings),
"-domain", attack_domain,
"-version", attack_version,
"-output", str(output_location),
])
child_process.wait(timeout=240)
assert child_process.returncode == 0
@pytest.mark.parametrize("attack_version", ["v8.2", "v9.0"])
@pytest.mark.parametrize("rev", ["nist800-53-r4", "nist800-53-r5"])
def test_mappings_to_heatmaps(dir_location, attack_domain, attack_version, rev):
"""Tests mappings_to_heatmaps.py with both framework entries"""
rx_controls = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"stix", f"{rev}-controls.json")
rx_mappings = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"stix", f"{rev}-mappings.json")
output_location = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"layers")
script_location = f"{dir_location}/src/mappings_to_heatmaps.py"
child_process = subprocess.Popen([
sys.executable, script_location,
"-framework", rev,
"-controls", str(rx_controls),
"-mappings", str(rx_mappings),
"-domain", attack_domain,
"-version", attack_version,
"-output", str(output_location),
"--clear",
"--build-directory",
])
child_process.wait(timeout=90)
assert child_process.returncode == 0
@pytest.mark.parametrize("attack_version", ["v8.2", "v9.0"])
@pytest.mark.parametrize("rev", ["nist800-53-r4", "nist800-53-r5"])
def test_substitute(dir_location, attack_domain, attack_version, rev):
"""Tests substitute.py with both frameworks"""
rx_controls = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"stix", f"{rev}-controls.json")
rx_mappings = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"stix", f"{rev}-mappings.json")
output_location = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"stix", f"{rev}-enterprise-attack.json")
script_location = f"{dir_location}/src/substitute.py"
child_process = subprocess.Popen([
sys.executable, script_location,
"-controls", str(rx_controls),
"-mappings", str(rx_mappings),
"-domain", attack_domain,
"-version", attack_version,
"-output", str(output_location),
"--allow-unmapped",
])
child_process.wait(timeout=90)
assert child_process.returncode == 0
def test_make(dir_location):
"""Test the main make.py script"""
script_location = f"{dir_location}/src/make.py"
child_process = subprocess.Popen([
sys.executable, script_location,
])
child_process.wait(timeout=1080)
assert child_process.returncode == 0
@pytest.mark.parametrize("attack_version", ["v8.2", "v9.0"])
@pytest.mark.parametrize("rev", ["nist800-53-r4", "nist800-53-r5"])
def test_parse_framework(dir_location, attack_version, rev):
"""Tests parse.py with both frameworks"""
rx_input_controls = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"input", f"{rev}-controls.tsv")
rx_input_mappings = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"input", f"{rev}-mappings.tsv")
rx_output_controls = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"stix", f"{rev}-controls.json")
rx_output_mappings = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"stix", f"{rev}-mappings.json")
config_location = pathlib.Path(dir_location, "frameworks", f"ATT&CK-{attack_version}", rev,
"input", "config.json")
script_location = f"{dir_location}/frameworks/ATT&CK-{attack_version}/{rev}/parse.py"
child_process = subprocess.Popen([
sys.executable, script_location,
"-input-controls", str(rx_input_controls),
"-input-mappings", str(rx_input_mappings),
"-output-controls", str(rx_output_controls),
"-output-mappings", str(rx_output_mappings),
"-config-location", str(config_location),
])
child_process.wait(timeout=90)
assert child_process.returncode == 0
| 43.496183
| 98
| 0.629168
| 674
| 5,698
| 5.120178
| 0.121662
| 0.097943
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| 0.755143
| 0.711678
| 0.711678
| 0.673428
| 0.624746
| 0
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| 0.220779
| 5,698
| 130
| 99
| 43.830769
| 0.758784
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| 0
| 0.263466
| 0.100586
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| 1
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| false
| 0
| 0.045455
| 0.009091
| 0.136364
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| null | 0
| 0
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| 1
| 1
| 1
| 0
| 1
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| null | 0
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| 0
| 0
|
0
| 4
|
5dec399c34c0082bb3b609bf8090d26ce942f02b
| 133
|
py
|
Python
|
14_Sort/Step02/yj.py
|
StudyForCoding/BEAKJOON
|
84e1c5e463255e919ccf6b6a782978c205420dbf
|
[
"MIT"
] | null | null | null |
14_Sort/Step02/yj.py
|
StudyForCoding/BEAKJOON
|
84e1c5e463255e919ccf6b6a782978c205420dbf
|
[
"MIT"
] | 3
|
2020-11-04T05:38:53.000Z
|
2021-03-02T02:15:19.000Z
|
14_Sort/Step02/yj.py
|
StudyForCoding/BEAKJOON
|
84e1c5e463255e919ccf6b6a782978c205420dbf
|
[
"MIT"
] | null | null | null |
import sys
n = int(sys.stdin.readline())
num = [int(sys.stdin.readline()) for m in range(n)]
num.sort()
for nu in num:
print(nu)
| 19
| 51
| 0.654135
| 25
| 133
| 3.48
| 0.56
| 0.137931
| 0.252874
| 0.436782
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0.165414
| 133
| 7
| 52
| 19
| 0.783784
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|
0
| 4
|
5df9c3cdcd80dc5522ebfd390020557a9938e8bf
| 380
|
py
|
Python
|
queryset_client/tests/base/tests/__init__.py
|
pulina/tastypie-queryset-client
|
1d65ee387e256b78c44fd8be57fa64ca798ae2da
|
[
"MIT"
] | null | null | null |
queryset_client/tests/base/tests/__init__.py
|
pulina/tastypie-queryset-client
|
1d65ee387e256b78c44fd8be57fa64ca798ae2da
|
[
"MIT"
] | 1
|
2016-12-22T10:55:44.000Z
|
2016-12-22T10:55:44.000Z
|
queryset_client/tests/base/tests/__init__.py
|
pulina/tastypie-queryset-client
|
1d65ee387e256b78c44fd8be57fa64ca798ae2da
|
[
"MIT"
] | 5
|
2015-04-27T11:50:28.000Z
|
2019-01-10T06:39:57.000Z
|
import warnings
warnings.simplefilter('ignore', Warning)
from .count import *
from .create import *
from .exists import *
from .foreignkey import *
from .get_or_create import *
from .latest import *
from .lazy import *
from .len import *
from .many_to_many import *
from .model import *
from .order_by import *
from .paginator import *
from .slice import *
from .strict import *
| 21.111111
| 40
| 0.75
| 53
| 380
| 5.283019
| 0.433962
| 0.464286
| 0.114286
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| 0
| 0
| 0.160526
| 380
| 17
| 41
| 22.352941
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| 1
| 0
| 1
| 0
|
0
| 4
|
f8f5df08cd3b48fefa79d3c3b394e779643e6792
| 2,667
|
py
|
Python
|
tensorlayer/__init__.py
|
XJTUexperiment/tensorlayer
|
7184f728b35106e80f7424e09a2bde1721b82803
|
[
"Apache-2.0"
] | 5
|
2018-12-06T21:10:55.000Z
|
2021-01-24T11:47:35.000Z
|
tensorlayer/__init__.py
|
OwenLiuzZ/tensorlayer
|
65c6611566aa182c4d7cbf51db7c054240c409ff
|
[
"Apache-2.0"
] | null | null | null |
tensorlayer/__init__.py
|
OwenLiuzZ/tensorlayer
|
65c6611566aa182c4d7cbf51db7c054240c409ff
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Deep learning and Reinforcement learning library for Researchers and Engineers"""
from __future__ import absolute_import
import os
from distutils.version import LooseVersion
from tensorlayer.package_info import VERSION
from tensorlayer.package_info import __shortversion__
from tensorlayer.package_info import __version__
from tensorlayer.package_info import __package_name__
from tensorlayer.package_info import __contact_names__
from tensorlayer.package_info import __contact_emails__
from tensorlayer.package_info import __homepage__
from tensorlayer.package_info import __repository_url__
from tensorlayer.package_info import __download_url__
from tensorlayer.package_info import __description__
from tensorlayer.package_info import __license__
from tensorlayer.package_info import __keywords__
if 'TENSORLAYER_PACKAGE_BUILDING' not in os.environ:
try:
import tensorflow
except Exception as e:
raise ImportError(
"Tensorflow is not installed, please install it with the one of the following commands:\n"
" - `pip install --upgrade tensorflow`\n"
" - `pip install --upgrade tensorflow-gpu`"
)
if ("SPHINXBUILD" not in os.environ and "READTHEDOCS" not in os.environ and
LooseVersion(tensorflow.__version__) < LooseVersion("1.6.0")):
raise RuntimeError(
"TensorLayer does not support Tensorflow version older than 1.6.0.\n"
"Please update Tensorflow with:\n"
" - `pip install --upgrade tensorflow`\n"
" - `pip install --upgrade tensorflow-gpu`"
)
from tensorlayer import activation
from tensorlayer import array_ops
from tensorlayer import cost
from tensorlayer import decorators
from tensorlayer import files
from tensorlayer import initializers
from tensorlayer import iterate
from tensorlayer import layers
from tensorlayer import lazy_imports
from tensorlayer import logging
from tensorlayer import models
from tensorlayer import optimizers
from tensorlayer import rein
from tensorlayer.lazy_imports import LazyImport
# Lazy Imports
db = LazyImport("tensorlayer.db")
distributed = LazyImport("tensorlayer.distributed")
nlp = LazyImport("tensorlayer.nlp")
prepro = LazyImport("tensorlayer.prepro")
utils = LazyImport("tensorlayer.utils")
visualize = LazyImport("tensorlayer.visualize")
# alias
act = activation
vis = visualize
alphas = array_ops.alphas
alphas_like = array_ops.alphas_like
# global vars
global_flag = {}
global_dict = {}
| 34.192308
| 102
| 0.739033
| 304
| 2,667
| 6.217105
| 0.355263
| 0.206349
| 0.144444
| 0.165079
| 0.301587
| 0.215873
| 0.137566
| 0.137566
| 0.137566
| 0.137566
| 0
| 0.003283
| 0.2006
| 2,667
| 77
| 103
| 34.636364
| 0.883208
| 0.056993
| 0
| 0.068966
| 0
| 0
| 0.203593
| 0.028743
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.637931
| 0
| 0.637931
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
5d02c3951e18272098aa083c02d282200ff1082c
| 706
|
py
|
Python
|
tests/test_1742.py
|
sungho-joo/leetcode2github
|
ce7730ef40f6051df23681dd3c0e1e657abba620
|
[
"MIT"
] | 2
|
2020-12-08T13:59:10.000Z
|
2021-05-01T05:07:39.000Z
|
tests/test_1742.py
|
sungho-joo/leetcode2github
|
ce7730ef40f6051df23681dd3c0e1e657abba620
|
[
"MIT"
] | null | null | null |
tests/test_1742.py
|
sungho-joo/leetcode2github
|
ce7730ef40f6051df23681dd3c0e1e657abba620
|
[
"MIT"
] | 1
|
2021-05-02T17:42:02.000Z
|
2021-05-02T17:42:02.000Z
|
#!/usr/bin/env python
import pytest
"""
Test 1742. Maximum Number of Balls in a Box
"""
@pytest.fixture(scope="session")
def init_variables_1742():
from src.leetcode_1742_maximum_number_of_balls_in_a_box import Solution
solution = Solution()
def _init_variables_1742():
return solution
yield _init_variables_1742
class TestClass1742:
def test_solution_0(self, init_variables_1742):
assert init_variables_1742().countBalls(1, 10) == 2
def test_solution_1(self, init_variables_1742):
assert init_variables_1742().countBalls(5, 15) == 2
def test_solution_2(self, init_variables_1742):
assert init_variables_1742().countBalls(19, 28) == 2
| 22.774194
| 75
| 0.725212
| 98
| 706
| 4.877551
| 0.408163
| 0.24477
| 0.320084
| 0.131799
| 0.464435
| 0.464435
| 0.464435
| 0.464435
| 0.338912
| 0
| 0
| 0.110727
| 0.181303
| 706
| 30
| 76
| 23.533333
| 0.716263
| 0.028329
| 0
| 0
| 0
| 0
| 0.011041
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.333333
| false
| 0
| 0.133333
| 0.066667
| 0.6
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
5d49b567f93c46d676fdb50c07aa49435c4c7002
| 71
|
py
|
Python
|
moneypy/filters/__init__.py
|
bajor/MoneyPy
|
8239059944810bf658ffa0664b2a83bdd640c8fa
|
[
"MIT"
] | null | null | null |
moneypy/filters/__init__.py
|
bajor/MoneyPy
|
8239059944810bf658ffa0664b2a83bdd640c8fa
|
[
"MIT"
] | null | null | null |
moneypy/filters/__init__.py
|
bajor/MoneyPy
|
8239059944810bf658ffa0664b2a83bdd640c8fa
|
[
"MIT"
] | null | null | null |
"""Functionality related to filtering and sorting the banking data."""
| 35.5
| 70
| 0.774648
| 9
| 71
| 6.111111
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126761
| 71
| 1
| 71
| 71
| 0.887097
| 0.901408
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5d4acc39bdbd98ca6807e1bbca97ed32175963c8
| 194
|
py
|
Python
|
regi0/geographic/__init__.py
|
PEM-Humboldt/geographic-validation
|
e8584fdbccd40847e94fef2481bc8f420e7fddb3
|
[
"MIT"
] | null | null | null |
regi0/geographic/__init__.py
|
PEM-Humboldt/geographic-validation
|
e8584fdbccd40847e94fef2481bc8f420e7fddb3
|
[
"MIT"
] | 24
|
2021-04-30T18:02:30.000Z
|
2021-10-13T13:56:24.000Z
|
regi0/geographic/__init__.py
|
PEM-Humboldt/geographic-validation
|
e8584fdbccd40847e94fef2481bc8f420e7fddb3
|
[
"MIT"
] | 1
|
2021-06-16T16:52:52.000Z
|
2021-06-16T16:52:52.000Z
|
from regi0.geographic.local import (
find_outliers,
find_spatial_duplicates,
get_layer_field,
get_layer_field_historical,
intersects_layer,
intersects_layer_historical
)
| 21.555556
| 36
| 0.773196
| 22
| 194
| 6.318182
| 0.636364
| 0.115108
| 0.18705
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006289
| 0.180412
| 194
| 8
| 37
| 24.25
| 0.867925
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.125
| 0
| 0.125
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
5371cb3ce0eefea2489c4d6e5cfe6d7f8dab930f
| 190
|
py
|
Python
|
metaphor/redshift/usage/__main__.py
|
MetaphorData/connectors
|
e195f58ee0660b278bd72d16173937fae279eef2
|
[
"Apache-2.0"
] | 5
|
2021-08-24T17:46:48.000Z
|
2022-01-21T03:42:31.000Z
|
metaphor/redshift/usage/__main__.py
|
MetaphorData/connectors
|
e195f58ee0660b278bd72d16173937fae279eef2
|
[
"Apache-2.0"
] | 142
|
2021-09-02T22:16:54.000Z
|
2022-03-31T15:23:34.000Z
|
metaphor/redshift/usage/__main__.py
|
MetaphorData/connectors
|
e195f58ee0660b278bd72d16173937fae279eef2
|
[
"Apache-2.0"
] | null | null | null |
from metaphor.common.cli import cli_main
from .extractor import RedshiftUsageExtractor
if __name__ == "__main__":
cli_main("Redshift usage metadata extractor", RedshiftUsageExtractor)
| 27.142857
| 73
| 0.810526
| 21
| 190
| 6.857143
| 0.619048
| 0.097222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.121053
| 190
| 6
| 74
| 31.666667
| 0.862275
| 0
| 0
| 0
| 0
| 0
| 0.215789
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
538eacf2f5f4ff957eb36b3f2c27c4c982200e0a
| 318
|
py
|
Python
|
opto/opto/utils/test/__init__.py
|
tholiao/opto
|
370a016a1ccef462b185b0f9538fb33aab81d566
|
[
"MIT"
] | 5
|
2019-03-25T17:52:28.000Z
|
2022-03-19T06:20:41.000Z
|
opto/opto/utils/test/__init__.py
|
tholiao/opto
|
370a016a1ccef462b185b0f9538fb33aab81d566
|
[
"MIT"
] | null | null | null |
opto/opto/utils/test/__init__.py
|
tholiao/opto
|
370a016a1ccef462b185b0f9538fb33aab81d566
|
[
"MIT"
] | 6
|
2018-02-19T05:33:40.000Z
|
2019-11-21T04:17:22.000Z
|
# Compatibility Python 2/3
from __future__ import division, print_function, absolute_import
from builtins import range
# ----------------------------------------------------------------------------------------------------------------------
import numpy as np
from dotmap import DotMap
import matplotlib.pyplot as plt
| 35.333333
| 120
| 0.518868
| 29
| 318
| 5.482759
| 0.689655
| 0.150943
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00692
| 0.091195
| 318
| 8
| 121
| 39.75
| 0.543253
| 0.449686
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.2
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
539f8053abebd8c052e3dad40986ad1f44f3e47d
| 41
|
py
|
Python
|
data/studio21_generated/introductory/3556/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
data/studio21_generated/introductory/3556/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
data/studio21_generated/introductory/3556/starter_code.py
|
vijaykumawat256/Prompt-Summarization
|
614f5911e2acd2933440d909de2b4f86653dc214
|
[
"Apache-2.0"
] | null | null | null |
def diamonds_and_toads(sentence,fairy):
| 20.5
| 39
| 0.829268
| 6
| 41
| 5.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.073171
| 41
| 2
| 40
| 20.5
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
53a75ec12849ebf51ad3d56d74c68244660f9c90
| 1,552
|
py
|
Python
|
src/modules/json_schemas.py
|
tensor-nsk-lesson/messenger
|
c232b8e3ca099fc87f723b4000f6b56e39add792
|
[
"MIT"
] | null | null | null |
src/modules/json_schemas.py
|
tensor-nsk-lesson/messenger
|
c232b8e3ca099fc87f723b4000f6b56e39add792
|
[
"MIT"
] | 8
|
2019-06-12T05:47:47.000Z
|
2022-02-18T02:40:01.000Z
|
src/modules/json_schemas.py
|
tensor-nsk-lesson/messenger
|
c232b8e3ca099fc87f723b4000f6b56e39add792
|
[
"MIT"
] | 1
|
2021-03-12T13:18:56.000Z
|
2021-03-12T13:18:56.000Z
|
login_schema = {
'type': 'object',
'properties': {
'login': {'type': 'string', 'pattern': '^[0-9A-z-_]+$'},
'password': {'type': 'string', 'pattern': '^[0-9A-z-_]+$'}
},
'required': ['login', 'password']
}
register_schema = {
'type': 'object',
'properties': {
'login': {'type': 'string', 'pattern': '^[0-9A-z-_]+$'},
'email': {'type': 'string', 'pattern': '^[0-9A-z-_]+@[0-9A-z-_]+.[0-9A-z]+$'},
'password': {'type': 'string', 'pattern': '^[0-9A-zА-я-_]+$'},
'first_name': {'type': 'string', 'pattern': '^[0-9A-zА-я-_]+$'},
'second_name': {'type': 'string', 'pattern': '^[0-9A-zА-я-_]+$'}
},
'required': ['login', 'password', 'first_name', 'second_name', 'email']
}
profile_update_schema = {
'type': 'object',
'properties': {
'first_name': {'type': 'string', 'pattern': '^[0-9A-zА-я-_]+$'},
'second_name': {'type': 'string', 'pattern': '^[0-9A-zА-я-_]+$'}
},
'required': ['first_name', 'second_name']
}
chat_create_schema = {
'type': 'object',
'properties': {
'name': {'type': 'string', 'pattern': '^[0-9A-zА-я-_\s][^\\r\\t\\n\\v\\f]+$'},
},
'required': ['name']
}
chat_send_msg_schema = {
'type': 'object',
'properties': {
'name': {'type': 'string', 'pattern': '^[0-9A-z-_]+$'},
},
'required': ['name']
}
password_schema = {
'type': 'object',
'properties': {
'password': {'type': 'string', 'pattern': '^[0-9A-zА-я-_]+$'},
},
'required': ['password']
}
| 27.714286
| 86
| 0.476804
| 163
| 1,552
| 4.349693
| 0.190184
| 0.059238
| 0.287729
| 0.304654
| 0.702398
| 0.702398
| 0.667137
| 0.641749
| 0.578279
| 0.493653
| 0
| 0.022932
| 0.213273
| 1,552
| 56
| 87
| 27.714286
| 0.55774
| 0
| 0
| 0.458333
| 0
| 0.041667
| 0.495171
| 0.045718
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.145833
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
53c32da2afae74e387f4f0e26f5b65f90b9040c3
| 338
|
py
|
Python
|
tapioca_desk/resource_mapping/__init__.py
|
medeirosthiago/tapioca-desk
|
7d40510def79d90a49b95711af2d47a3b9ab5860
|
[
"MIT"
] | 1
|
2017-09-25T19:21:38.000Z
|
2017-09-25T19:21:38.000Z
|
tapioca_desk/resource_mapping/__init__.py
|
medeirosthiago/tapioca-desk
|
7d40510def79d90a49b95711af2d47a3b9ab5860
|
[
"MIT"
] | 4
|
2017-09-19T00:02:03.000Z
|
2017-09-19T21:24:28.000Z
|
tapioca_desk/resource_mapping/__init__.py
|
medeirosthiago/tapioca-desk
|
7d40510def79d90a49b95711af2d47a3b9ab5860
|
[
"MIT"
] | null | null | null |
from .cases import CASES_MAPPING
from .labels import LABELS_MAPPING
from .customers import CUSTOMERS_MAPPING
from .companies import COMPANIES_MAPPING
RESOURCE_MAPPING = {}
RESOURCE_MAPPING.update(CASES_MAPPING)
RESOURCE_MAPPING.update(LABELS_MAPPING)
RESOURCE_MAPPING.update(CUSTOMERS_MAPPING)
RESOURCE_MAPPING.update(COMPANIES_MAPPING)
| 30.727273
| 42
| 0.872781
| 42
| 338
| 6.714286
| 0.214286
| 0.265957
| 0.390071
| 0.397163
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071006
| 338
| 10
| 43
| 33.8
| 0.898089
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.444444
| 0
| 0.444444
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
53ccddbbbd3da5aab666a77b17fb7b1970cc0bd9
| 30
|
py
|
Python
|
a.1.5.py
|
AmanMishra148/python-repo
|
5b07fe19f2058fc2c909b96ae173f4346ac8d3da
|
[
"bzip2-1.0.6"
] | null | null | null |
a.1.5.py
|
AmanMishra148/python-repo
|
5b07fe19f2058fc2c909b96ae173f4346ac8d3da
|
[
"bzip2-1.0.6"
] | 1
|
2021-10-18T09:59:45.000Z
|
2021-10-18T09:59:45.000Z
|
a.1.5.py
|
AmanMishra148/python-repo
|
5b07fe19f2058fc2c909b96ae173f4346ac8d3da
|
[
"bzip2-1.0.6"
] | 4
|
2021-10-18T09:40:54.000Z
|
2021-10-19T14:14:28.000Z
|
a= "Abhimanyu Singh"
print(a)
| 10
| 20
| 0.7
| 5
| 30
| 4.2
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 30
| 2
| 21
| 15
| 0.807692
| 0
| 0
| 0
| 0
| 0
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.5
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
54f25908f0f89b38b8d94db1a1eec83ee06b4628
| 112
|
py
|
Python
|
mayan/apps/smart_settings/__init__.py
|
Syunkolee9891/Mayan-EDMS
|
3759a9503a264a180b74cc8518388f15ca66ac1a
|
[
"Apache-2.0"
] | 1
|
2021-06-17T18:24:25.000Z
|
2021-06-17T18:24:25.000Z
|
mayan/apps/smart_settings/__init__.py
|
Syunkolee9891/Mayan-EDMS
|
3759a9503a264a180b74cc8518388f15ca66ac1a
|
[
"Apache-2.0"
] | 7
|
2020-06-06T00:01:04.000Z
|
2022-01-13T01:47:17.000Z
|
mayan/apps/smart_settings/__init__.py
|
Syunkolee9891/Mayan-EDMS
|
3759a9503a264a180b74cc8518388f15ca66ac1a
|
[
"Apache-2.0"
] | 1
|
2020-07-29T21:03:27.000Z
|
2020-07-29T21:03:27.000Z
|
from __future__ import unicode_literals
default_app_config = 'mayan.apps.smart_settings.apps.SmartSettingsApp'
| 28
| 70
| 0.866071
| 14
| 112
| 6.357143
| 0.928571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 112
| 3
| 71
| 37.333333
| 0.855769
| 0
| 0
| 0
| 0
| 0
| 0.419643
| 0.419643
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
071c3b7266c13a33409e040171d9f42b222b8704
| 449
|
py
|
Python
|
meraki/models/object_type_enum.py
|
bossypants22/python-sdk-test
|
37701d62dc18c2abb910eb790ab978913adcaf7b
|
[
"MIT"
] | 37
|
2019-04-24T14:01:33.000Z
|
2022-01-28T01:37:21.000Z
|
meraki/models/object_type_enum.py
|
ankita66666666/meraki-python-sdk
|
9894089eb013318243ae48869cc5130eb37f80c0
|
[
"MIT"
] | 10
|
2019-07-09T16:35:11.000Z
|
2021-12-07T03:47:53.000Z
|
meraki/models/object_type_enum.py
|
ankita66666666/meraki-python-sdk
|
9894089eb013318243ae48869cc5130eb37f80c0
|
[
"MIT"
] | 17
|
2019-04-30T23:53:21.000Z
|
2022-02-07T22:57:44.000Z
|
# -*- coding: utf-8 -*-
"""
meraki
This file was automatically generated for meraki by APIMATIC v2.0 ( https://apimatic.io ).
"""
class ObjectTypeEnum(object):
"""Implementation of the 'objectType' enum.
TODO: type enum description here.
Attributes:
PERSON: TODO: type description here.
VEHICLE: TODO: type description here.
"""
PERSON = 'person'
VEHICLE = 'vehicle'
| 17.96
| 95
| 0.592428
| 46
| 449
| 5.782609
| 0.673913
| 0.090226
| 0.142857
| 0.172932
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009494
| 0.296214
| 449
| 24
| 96
| 18.708333
| 0.832278
| 0.652561
| 0
| 0
| 1
| 0
| 0.147727
| 0
| 0
| 0
| 0
| 0.125
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
07223f6646d28bbe8361254170c56512be80ca0b
| 401
|
py
|
Python
|
PMIa/2014/KUCHERYAVENKO_A_I/task_1_38.py
|
YukkaSarasti/pythonintask
|
eadf4245abb65f4400a3bae30a4256b4658e009c
|
[
"Apache-2.0"
] | null | null | null |
PMIa/2014/KUCHERYAVENKO_A_I/task_1_38.py
|
YukkaSarasti/pythonintask
|
eadf4245abb65f4400a3bae30a4256b4658e009c
|
[
"Apache-2.0"
] | null | null | null |
PMIa/2014/KUCHERYAVENKO_A_I/task_1_38.py
|
YukkaSarasti/pythonintask
|
eadf4245abb65f4400a3bae30a4256b4658e009c
|
[
"Apache-2.0"
] | null | null | null |
# Задача 1. Вариант 38.
# Напишите программу, которая будет сообщать род деятельности и псевдоним под которым скрывается Аврора Жюпен. После вывода информации программа должна дожидаться пока пользователь нажмет Enter для выхода.
# Kucheryavenko A. I.
# 17.03.2016
print("Жорж Санд более известна, как французская писательница Амандина Аврора Люсиль Дюпен.")
input("\n\nНажмите Enter для выхода.")
| 40.1
| 205
| 0.795511
| 54
| 401
| 5.907407
| 0.925926
| 0.050157
| 0.087774
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.031884
| 0.139651
| 401
| 9
| 206
| 44.555556
| 0.892754
| 0.638404
| 0
| 0
| 0
| 0
| 0.807143
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.5
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
0757ea5a3e0906e79a5d7492fa1f95d2e7a35393
| 1,322
|
py
|
Python
|
tests/test_netstrings.py
|
kgaughan/adjunct
|
b4e845d3b9c0648e6ac46ee25e484e9660f3924e
|
[
"MIT"
] | null | null | null |
tests/test_netstrings.py
|
kgaughan/adjunct
|
b4e845d3b9c0648e6ac46ee25e484e9660f3924e
|
[
"MIT"
] | 1
|
2019-02-23T14:41:35.000Z
|
2020-06-15T13:00:46.000Z
|
tests/test_netstrings.py
|
kgaughan/adjunct
|
b4e845d3b9c0648e6ac46ee25e484e9660f3924e
|
[
"MIT"
] | null | null | null |
import unittest
from adjunct.netstrings import MalformedNetstring, parse
class NetstringReaderTest(unittest.TestCase):
def test_empty(self):
self.assertListEqual(parse(b""), [])
def test_single(self):
self.assertListEqual(parse(b"0:,"), [b""])
self.assertListEqual(parse(b"1:a,"), [b"a"])
self.assertListEqual(parse(b"2:ab,"), [b"ab"])
def test_long_string(self):
self.assertListEqual(parse(b"10:abcdezxcvb,"), [b"abcdezxcvb"])
def test_series(self):
self.assertListEqual(parse(b"0:,0:,"), [b"", b""])
self.assertListEqual(parse(b"1:a,1:a,"), [b"a", b"a"])
self.assertListEqual(parse(b"2:ab,2:ab,"), [b"ab", b"ab"])
def test_length_limit(self):
with self.assertRaises(MalformedNetstring):
parse(b"12345678901:b,")
def test_leading_zero(self):
with self.assertRaises(MalformedNetstring):
parse(b"01:b,")
def test_bad_length(self):
with self.assertRaises(MalformedNetstring):
parse(b"a:b,")
def test_truncation(self):
with self.assertRaises(MalformedNetstring):
parse(b"5:abcd")
with self.assertRaises(MalformedNetstring):
parse(b"0:")
with self.assertRaises(MalformedNetstring):
parse(b"5:abcde")
| 31.47619
| 71
| 0.623298
| 161
| 1,322
| 5.043478
| 0.248447
| 0.103448
| 0.236453
| 0.246305
| 0.663793
| 0.565271
| 0.437192
| 0.076355
| 0.076355
| 0
| 0
| 0.026112
| 0.217852
| 1,322
| 41
| 72
| 32.243902
| 0.759188
| 0
| 0
| 0.193548
| 0
| 0
| 0.080938
| 0
| 0
| 0
| 0
| 0
| 0.451613
| 1
| 0.258065
| false
| 0
| 0.064516
| 0
| 0.354839
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
075917da082df97778484e2c7316d68b77bd4df0
| 170
|
py
|
Python
|
OOPS/section 4/app/mymath.py
|
Advik-B/Learn-Python
|
66ac57259764e8f2c3c6513a8de6c106800d8abe
|
[
"MIT"
] | 6
|
2021-07-26T14:21:25.000Z
|
2021-07-26T14:32:01.000Z
|
OOPS/section 4/app/mymath.py
|
Advik-B/Learn-Python
|
66ac57259764e8f2c3c6513a8de6c106800d8abe
|
[
"MIT"
] | 2
|
2021-12-10T10:25:19.000Z
|
2021-12-10T10:27:15.000Z
|
OOPS/section 4/app/mymath.py
|
Advik-B/Learn-Python
|
66ac57259764e8f2c3c6513a8de6c106800d8abe
|
[
"MIT"
] | null | null | null |
def add(x,y):
return x + y
def multiply(x,y):
return x * y
def subtract(x,y):
return x - y
def divide(x,y):
return y/x
def power(x,y):
return x**y
| 12.142857
| 18
| 0.558824
| 35
| 170
| 2.714286
| 0.257143
| 0.189474
| 0.421053
| 0.378947
| 0.515789
| 0.410526
| 0
| 0
| 0
| 0
| 0
| 0
| 0.288235
| 170
| 14
| 19
| 12.142857
| 0.785124
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.5
| false
| 0
| 0
| 0.5
| 1
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
ab027b166287d50a7dc37f2cb80197e1a6bc7014
| 158
|
py
|
Python
|
tests/cpydiff/core_function_instancevar.py
|
cav71/micropython
|
cd3ed02ca38f5c9bdf535af407b7feb48fe28904
|
[
"MIT"
] | 1
|
2021-03-07T06:14:21.000Z
|
2021-03-07T06:14:21.000Z
|
tests/cpydiff/core_function_instancevar.py
|
cav71/micropython
|
cd3ed02ca38f5c9bdf535af407b7feb48fe28904
|
[
"MIT"
] | null | null | null |
tests/cpydiff/core_function_instancevar.py
|
cav71/micropython
|
cd3ed02ca38f5c9bdf535af407b7feb48fe28904
|
[
"MIT"
] | null | null | null |
"""
categories: Core,Functions
description: Assign instance variable to function
cause: Unknown
workaround: Unknown
"""
def f():
pass
f.x = 0
print(f.x)
| 13.166667
| 49
| 0.71519
| 22
| 158
| 5.136364
| 0.818182
| 0.035398
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007576
| 0.164557
| 158
| 11
| 50
| 14.363636
| 0.848485
| 0.702532
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0.25
| 0
| 0
| 0.25
| 0.25
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
ab2e406ebe02f8d753f51ffed8dfa379f47acc85
| 226
|
py
|
Python
|
routml_app/models.py
|
routml/django-app
|
069454d7931ab965a6a8f885cf82b30c455c3ffa
|
[
"MIT"
] | null | null | null |
routml_app/models.py
|
routml/django-app
|
069454d7931ab965a6a8f885cf82b30c455c3ffa
|
[
"MIT"
] | null | null | null |
routml_app/models.py
|
routml/django-app
|
069454d7931ab965a6a8f885cf82b30c455c3ffa
|
[
"MIT"
] | null | null | null |
from django.db import models
class Url(models.Model):
url = models.CharField(max_length=2000, unique=True, db_index=True)
day = models.IntegerField()
month = models.IntegerField()
year = models.IntegerField()
| 28.25
| 71
| 0.721239
| 29
| 226
| 5.551724
| 0.655172
| 0.335404
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021164
| 0.163717
| 226
| 7
| 72
| 32.285714
| 0.830688
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
ab39f0781e3f4a902c3929d256e6fd2ae71e5b81
| 37
|
py
|
Python
|
pynwsradar/version.py
|
MatthewFlamm/pynwsradar
|
b026e1c91225706d2998c32dd3335b9631258be6
|
[
"MIT"
] | null | null | null |
pynwsradar/version.py
|
MatthewFlamm/pynwsradar
|
b026e1c91225706d2998c32dd3335b9631258be6
|
[
"MIT"
] | 2
|
2021-02-27T17:43:57.000Z
|
2021-03-11T19:31:20.000Z
|
pynwsradar/version.py
|
MatthewFlamm/pynwsradar
|
b026e1c91225706d2998c32dd3335b9631258be6
|
[
"MIT"
] | null | null | null |
"""Version."""
__version__ = "0.0.1"
| 12.333333
| 21
| 0.567568
| 5
| 37
| 3.4
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090909
| 0.108108
| 37
| 2
| 22
| 18.5
| 0.424242
| 0.216216
| 0
| 0
| 0
| 0
| 0.217391
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ab4509160743fe591087691908a9be18384f7edc
| 414
|
py
|
Python
|
py_tdlib/constructors/encrypted_passport_element.py
|
Mr-TelegramBot/python-tdlib
|
2e2d21a742ebcd439971a32357f2d0abd0ce61eb
|
[
"MIT"
] | 24
|
2018-10-05T13:04:30.000Z
|
2020-05-12T08:45:34.000Z
|
py_tdlib/constructors/encrypted_passport_element.py
|
MrMahdi313/python-tdlib
|
2e2d21a742ebcd439971a32357f2d0abd0ce61eb
|
[
"MIT"
] | 3
|
2019-06-26T07:20:20.000Z
|
2021-05-24T13:06:56.000Z
|
py_tdlib/constructors/encrypted_passport_element.py
|
MrMahdi313/python-tdlib
|
2e2d21a742ebcd439971a32357f2d0abd0ce61eb
|
[
"MIT"
] | 5
|
2018-10-05T14:29:28.000Z
|
2020-08-11T15:04:10.000Z
|
from ..factory import Type
class encryptedPassportElement(Type):
type = None # type: "PassportElementType"
data = None # type: "bytes"
front_side = None # type: "datedFile"
reverse_side = None # type: "datedFile"
selfie = None # type: "datedFile"
translation = None # type: "vector<datedFile>"
files = None # type: "vector<datedFile>"
value = None # type: "string"
hash = None # type: "string"
| 29.571429
| 48
| 0.676329
| 47
| 414
| 5.914894
| 0.446809
| 0.258993
| 0.183453
| 0.151079
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.193237
| 414
| 13
| 49
| 31.846154
| 0.832335
| 0.427536
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.090909
| 0.090909
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
db41611861c2d8249c93b5732e7236dd86288553
| 173
|
py
|
Python
|
desafio aula4/ex2_contadores.py
|
FelipeFerreiraSS/logica-de-programacao_python_ads
|
0208bc6460e661994fb700e7b8724564f90b299f
|
[
"MIT"
] | null | null | null |
desafio aula4/ex2_contadores.py
|
FelipeFerreiraSS/logica-de-programacao_python_ads
|
0208bc6460e661994fb700e7b8724564f90b299f
|
[
"MIT"
] | null | null | null |
desafio aula4/ex2_contadores.py
|
FelipeFerreiraSS/logica-de-programacao_python_ads
|
0208bc6460e661994fb700e7b8724564f90b299f
|
[
"MIT"
] | null | null | null |
inicial = int(input('Qual o numero inicial?'))
final = int(input('Qual o numero final?'))
x = inicial
while( x <= final):
if(x % 2 == 0):
print(x)
x = x + 1
| 21.625
| 46
| 0.549133
| 28
| 173
| 3.392857
| 0.5
| 0.168421
| 0.252632
| 0.273684
| 0.4
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023622
| 0.265896
| 173
| 8
| 47
| 21.625
| 0.724409
| 0
| 0
| 0
| 0
| 0
| 0.241379
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.142857
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
db85c79ea5e36301830032d582270a6f1d0d8213
| 69
|
py
|
Python
|
trendfin/__init__.py
|
austinpkugler/trendfin
|
5b889197888f017cb6859e45d48c45b0bf346fb9
|
[
"MIT"
] | 3
|
2021-06-04T02:58:20.000Z
|
2021-08-20T03:11:13.000Z
|
trendfin/__init__.py
|
austinpkugler/trendfin
|
5b889197888f017cb6859e45d48c45b0bf346fb9
|
[
"MIT"
] | null | null | null |
trendfin/__init__.py
|
austinpkugler/trendfin
|
5b889197888f017cb6859e45d48c45b0bf346fb9
|
[
"MIT"
] | 1
|
2021-06-12T16:51:31.000Z
|
2021-06-12T16:51:31.000Z
|
"""The ultimate package for analyzing online finance communities."""
| 34.5
| 68
| 0.782609
| 8
| 69
| 6.75
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115942
| 69
| 1
| 69
| 69
| 0.885246
| 0.898551
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
db88733d617da170a6122c05f92c08c96223df31
| 43
|
py
|
Python
|
audio/edison/audio/__init__.py
|
noah95/edison
|
652af8ed4c99c11000a6c0136d770583a5318d8e
|
[
"Apache-2.0"
] | 3
|
2020-09-16T18:43:40.000Z
|
2022-03-24T12:09:05.000Z
|
audio/edison/audio/__init__.py
|
noah95/edison
|
652af8ed4c99c11000a6c0136d770583a5318d8e
|
[
"Apache-2.0"
] | 13
|
2020-11-13T18:50:47.000Z
|
2022-03-12T00:29:36.000Z
|
audio/edison/audio/__init__.py
|
noah95/edison
|
652af8ed4c99c11000a6c0136d770583a5318d8e
|
[
"Apache-2.0"
] | 2
|
2020-09-16T18:43:46.000Z
|
2021-04-14T06:33:53.000Z
|
__all__=['audioutils', 'bit_depth_analyze']
| 43
| 43
| 0.790698
| 5
| 43
| 5.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.023256
| 43
| 1
| 43
| 43
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0.613636
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
db969dbc368bc886548b635efde28ab6c4a2590b
| 449
|
py
|
Python
|
python/graphscope/nx/generators/tests/test_trees.py
|
LI-Mingyu/GraphScope-MY
|
942060983d3f7f8d3a3377467386e27aba285b33
|
[
"Apache-2.0"
] | 1
|
2021-12-17T03:58:08.000Z
|
2021-12-17T03:58:08.000Z
|
python/graphscope/nx/generators/tests/test_trees.py
|
LI-Mingyu/GraphScope-MY
|
942060983d3f7f8d3a3377467386e27aba285b33
|
[
"Apache-2.0"
] | null | null | null |
python/graphscope/nx/generators/tests/test_trees.py
|
LI-Mingyu/GraphScope-MY
|
942060983d3f7f8d3a3377467386e27aba285b33
|
[
"Apache-2.0"
] | null | null | null |
import pytest
from networkx.generators.tests.test_trees import test_random_tree
try:
from graphscope.nx.generators.trees import NIL
except ImportError:
# NetworkX >=2.6 not contains NIL
pass
from graphscope.nx.utils import arbitrary_element
from graphscope.nx.utils.compat import with_graphscope_nx_context
@pytest.mark.usefixtures("graphscope_session")
@with_graphscope_nx_context(test_random_tree)
def test_random_tree():
pass
| 24.944444
| 65
| 0.815145
| 63
| 449
| 5.571429
| 0.492063
| 0.17094
| 0.119658
| 0.119658
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005051
| 0.11804
| 449
| 17
| 66
| 26.411765
| 0.881313
| 0.069042
| 0
| 0.166667
| 0
| 0
| 0.043269
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.083333
| true
| 0.166667
| 0.5
| 0
| 0.583333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 4
|
dbc68366610d58b392a7781da0696038447e1120
| 216
|
py
|
Python
|
necrobot/database/dbutil.py
|
pancelor/necrobot
|
03003f0b4208c4e952cfa6b41a33d30480a351d7
|
[
"MIT"
] | 8
|
2016-01-15T00:28:55.000Z
|
2020-02-10T21:23:11.000Z
|
necrobot/database/dbutil.py
|
pancelor/necrobot
|
03003f0b4208c4e952cfa6b41a33d30480a351d7
|
[
"MIT"
] | 12
|
2017-01-01T22:14:54.000Z
|
2021-02-10T00:09:51.000Z
|
necrobot/database/dbutil.py
|
pancelor/necrobot
|
03003f0b4208c4e952cfa6b41a33d30480a351d7
|
[
"MIT"
] | 18
|
2016-02-05T22:19:46.000Z
|
2020-02-12T05:11:57.000Z
|
league_schema_name = None
def tn(tablename: str) -> str:
if league_schema_name is not None:
return '`{0}`.`{1}`'.format(league_schema_name, tablename)
else:
return '`{0}`'.format(tablename)
| 24
| 66
| 0.638889
| 29
| 216
| 4.551724
| 0.551724
| 0.272727
| 0.363636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017544
| 0.208333
| 216
| 8
| 67
| 27
| 0.754386
| 0
| 0
| 0
| 0
| 0
| 0.074074
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
91b14adef1efbbe24fc883a523fac285a601e586
| 376
|
py
|
Python
|
basic/session_3/errors.py
|
verhulstm/python-training
|
b28e366402dd87deed63762c5d5cc121c12a7e92
|
[
"MIT"
] | null | null | null |
basic/session_3/errors.py
|
verhulstm/python-training
|
b28e366402dd87deed63762c5d5cc121c12a7e92
|
[
"MIT"
] | null | null | null |
basic/session_3/errors.py
|
verhulstm/python-training
|
b28e366402dd87deed63762c5d5cc121c12a7e92
|
[
"MIT"
] | null | null | null |
# this is a comment. anything on a line that starts with a # is not treated by Python as code
print(a)
# notice all the text that was printed becouse of the error.
# This is called a traceback.
# It tells you what Python thinks the error is ("NameError: name 'a' is not defined") as well as
# which line number ("line # 19") and which file ("errors.py") the problem is on.
| 53.714286
| 96
| 0.718085
| 70
| 376
| 3.871429
| 0.657143
| 0.04428
| 0.04428
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006667
| 0.202128
| 376
| 6
| 97
| 62.666667
| 0.893333
| 0.93883
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
91ba7abf8ef2c73df57415ff9790a24712bde5a1
| 2,718
|
py
|
Python
|
kuryr_rancher/controller/handlers/pipeline.py
|
chenleji/kuryr-rancher
|
de38b7c9512bbdc0a40848853e02bacdb1890950
|
[
"Apache-2.0"
] | null | null | null |
kuryr_rancher/controller/handlers/pipeline.py
|
chenleji/kuryr-rancher
|
de38b7c9512bbdc0a40848853e02bacdb1890950
|
[
"Apache-2.0"
] | null | null | null |
kuryr_rancher/controller/handlers/pipeline.py
|
chenleji/kuryr-rancher
|
de38b7c9512bbdc0a40848853e02bacdb1890950
|
[
"Apache-2.0"
] | null | null | null |
# Copyright (c) 2016 Mirantis, Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
from kuryr_rancher import exceptions
from kuryr_rancher.handlers import asynchronous as h_async
from kuryr_rancher.handlers import dispatch as h_dis
from kuryr_rancher.handlers import k8s_base as h_k8s
from kuryr_rancher.handlers import logging as h_log
from kuryr_rancher.handlers import retry as h_retry
class ControllerPipeline(h_dis.EventPipeline):
"""Serves as an entry point for controller Kubernetes events.
`ControllerPipeline` is an entry point handler for the Kuryr-Kubernetes
controller. `ControllerPipeline` allows registering
:class:`kuryr_rancher.handlers.k8s_base.ResourceEventHandler`s and
ensures the proper handler is called for each event that is passed to the
`ControllerPipeline`. Also it ensures the following behavior:
- multiple `ResourceEventHandler`s can be registered for the same
resource type (`OBJECT_KIND`)
- failing handlers (i.e. ones that raise `Exception`s) are retried
until either the handler succeeds or a finite amount of time passes,
in which case the most recent exception is logged
- in case there are multiple handlers registered for the same resource
type, all such handlers are considered independent (i.e. if one
handler fails, other handlers will still be called regardless; and the
order in which such handlers are called is not determined)
- events for different Kubernetes objects can be handled concurrently
- events for the same Kubernetes object are handled sequentially in
the order of arrival
"""
def __init__(self, thread_group):
self._tg = thread_group
super(ControllerPipeline, self).__init__()
def _wrap_consumer(self, consumer):
# TODO(ivc): tune retry interval/timeout
return h_log.LogExceptions(h_retry.Retry(
consumer, exceptions=exceptions.ResourceNotReady))
def _wrap_dispatcher(self, dispatcher):
return h_log.LogExceptions(h_async.Async(dispatcher, self._tg,
h_k8s.object_link))
| 43.142857
| 78
| 0.729213
| 368
| 2,718
| 5.282609
| 0.470109
| 0.04321
| 0.049383
| 0.061728
| 0.134774
| 0.032922
| 0
| 0
| 0
| 0
| 0
| 0.005642
| 0.217439
| 2,718
| 62
| 79
| 43.83871
| 0.908322
| 0.654893
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016129
| 0
| 1
| 0.1875
| false
| 0
| 0.375
| 0.125
| 0.75
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
91d48b5027cb4fdfd1df1aee34a50845c807ec03
| 142
|
py
|
Python
|
tests/conftest.py
|
dgilland/fnc
|
a8d3cda717ba1c883e546a9f3cba9b2dc24c58a6
|
[
"MIT"
] | 152
|
2018-08-16T02:02:46.000Z
|
2022-03-16T03:01:02.000Z
|
tests/conftest.py
|
dgilland/fnc
|
a8d3cda717ba1c883e546a9f3cba9b2dc24c58a6
|
[
"MIT"
] | 4
|
2019-11-07T10:31:02.000Z
|
2021-05-18T15:08:54.000Z
|
tests/conftest.py
|
dgilland/fnc
|
a8d3cda717ba1c883e546a9f3cba9b2dc24c58a6
|
[
"MIT"
] | 3
|
2020-09-14T03:04:33.000Z
|
2021-03-06T11:12:21.000Z
|
from unittest import mock
import pytest
@pytest.fixture
def mocksleep():
with mock.patch("time.sleep") as mocked:
yield mocked
| 14.2
| 44
| 0.704225
| 19
| 142
| 5.263158
| 0.789474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.211268
| 142
| 9
| 45
| 15.777778
| 0.892857
| 0
| 0
| 0
| 0
| 0
| 0.070423
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| true
| 0
| 0.333333
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
91dfb1793ca064ed071ea5a9fa1cb2e92cefc0af
| 169
|
py
|
Python
|
akshat_nbdev_test/core.py
|
agrawalakshat27/nbdev-test
|
6b30d49e954e3a3496cd50ce2eaa4737a34c0720
|
[
"Apache-2.0"
] | null | null | null |
akshat_nbdev_test/core.py
|
agrawalakshat27/nbdev-test
|
6b30d49e954e3a3496cd50ce2eaa4737a34c0720
|
[
"Apache-2.0"
] | 2
|
2021-09-28T04:31:12.000Z
|
2022-02-26T09:09:33.000Z
|
akshat_nbdev_test/core.py
|
agrawalakshat27/nbdev-test
|
6b30d49e954e3a3496cd50ce2eaa4737a34c0720
|
[
"Apache-2.0"
] | null | null | null |
# AUTOGENERATED! DO NOT EDIT! File to edit: 00_core.ipynb (unless otherwise specified).
__all__ = ['a']
# Cell
def a(b):
"qgerhwtejyrkafher arerhtrw"
return 10
| 21.125
| 87
| 0.698225
| 23
| 169
| 4.913043
| 0.913043
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029197
| 0.189349
| 169
| 8
| 88
| 21.125
| 0.79562
| 0.698225
| 0
| 0
| 1
| 0
| 0.350649
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
91e000859b7a0f21afd6b376af739adcbdb12f50
| 48
|
py
|
Python
|
src/cloud_radar/cf/e2e/__init__.py
|
WahidSyed/cloud-radar
|
916c3fb5524abfbb2a015f69ab1ec56e223169da
|
[
"Apache-2.0"
] | null | null | null |
src/cloud_radar/cf/e2e/__init__.py
|
WahidSyed/cloud-radar
|
916c3fb5524abfbb2a015f69ab1ec56e223169da
|
[
"Apache-2.0"
] | null | null | null |
src/cloud_radar/cf/e2e/__init__.py
|
WahidSyed/cloud-radar
|
916c3fb5524abfbb2a015f69ab1ec56e223169da
|
[
"Apache-2.0"
] | null | null | null |
from ._stack import Stack
__all__ = ["Stack"]
| 9.6
| 25
| 0.6875
| 6
| 48
| 4.666667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1875
| 48
| 4
| 26
| 12
| 0.717949
| 0
| 0
| 0
| 0
| 0
| 0.104167
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
37cdb6e1a6ee305835894a6ea94546212624fd27
| 261
|
py
|
Python
|
database/constants.py
|
hueyyeng/AssetsBrowser
|
eb00d495f3ed7eab3d5ef8b995f38237936037ea
|
[
"MIT"
] | 7
|
2019-12-09T07:06:59.000Z
|
2021-11-05T22:38:01.000Z
|
database/constants.py
|
hueyyeng/AssetsBrowser
|
eb00d495f3ed7eab3d5ef8b995f38237936037ea
|
[
"MIT"
] | 5
|
2019-01-15T03:44:39.000Z
|
2022-03-27T07:36:15.000Z
|
database/constants.py
|
hueyyeng/AssetsBrowser
|
eb00d495f3ed7eab3d5ef8b995f38237936037ea
|
[
"MIT"
] | null | null | null |
"""Database Constants"""
from database.models import (
Application,
Asset,
AssetItem,
AssetItemFormat,
Category,
Project,
)
DEFAULT_MODELS = [
Application,
Asset,
AssetItem,
AssetItemFormat,
Category,
Project,
]
| 13.736842
| 29
| 0.632184
| 20
| 261
| 8.2
| 0.6
| 0.195122
| 0.304878
| 0.487805
| 0.670732
| 0.670732
| 0
| 0
| 0
| 0
| 0
| 0
| 0.275862
| 261
| 18
| 30
| 14.5
| 0.867725
| 0.068966
| 0
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.0625
| 0
| 0.0625
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
37cea488157c1989c17bfb690b84b99d2dc28f9c
| 753
|
py
|
Python
|
catalyst/metrics/__init__.py
|
elephantmipt/catalyst
|
6c706e4859ed7c58e5e6a5b7634176bffd0e2465
|
[
"Apache-2.0"
] | 2
|
2019-04-19T21:34:31.000Z
|
2019-05-02T22:50:25.000Z
|
catalyst/metrics/__init__.py
|
elephantmipt/catalyst
|
6c706e4859ed7c58e5e6a5b7634176bffd0e2465
|
[
"Apache-2.0"
] | null | null | null |
catalyst/metrics/__init__.py
|
elephantmipt/catalyst
|
6c706e4859ed7c58e5e6a5b7634176bffd0e2465
|
[
"Apache-2.0"
] | null | null | null |
# flake8: noqa
from catalyst.metrics.accuracy import accuracy, multi_label_accuracy
from catalyst.metrics.auc import auc
from catalyst.metrics.cmc_score import cmc_score, cmc_score_count
from catalyst.metrics.dice import dice, calculate_dice
from catalyst.metrics.f1_score import f1_score
from catalyst.metrics.focal import sigmoid_focal_loss, reduced_focal_loss
from catalyst.metrics.functional import (
process_multilabel_components,
get_binary_statistics,
get_multiclass_statistics,
get_multilabel_statistics,
get_default_topk_args,
wrap_class_metric2dict,
wrap_topk_metric2dict,
)
from catalyst.metrics.iou import iou, jaccard
from catalyst.metrics.mrr import mrr
from catalyst.metrics.precision import average_precision
| 37.65
| 73
| 0.840637
| 102
| 753
| 5.921569
| 0.382353
| 0.198676
| 0.31457
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007474
| 0.111554
| 753
| 19
| 74
| 39.631579
| 0.895366
| 0.015936
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.555556
| 0
| 0.555556
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
37e345f5149de22e5f6f4e5948b99b4559f4b0c5
| 72
|
py
|
Python
|
django_autoregister/__init__.py
|
samupl/django-admin-autoregister
|
3f8473e9ef16e35137a99a3ee3d9829e5285ecd6
|
[
"BSD-3-Clause"
] | null | null | null |
django_autoregister/__init__.py
|
samupl/django-admin-autoregister
|
3f8473e9ef16e35137a99a3ee3d9829e5285ecd6
|
[
"BSD-3-Clause"
] | null | null | null |
django_autoregister/__init__.py
|
samupl/django-admin-autoregister
|
3f8473e9ef16e35137a99a3ee3d9829e5285ecd6
|
[
"BSD-3-Clause"
] | null | null | null |
default_app_config = 'django_autoregister.apps.DjangoAutoRegisterConfig'
| 72
| 72
| 0.902778
| 7
| 72
| 8.857143
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.027778
| 72
| 1
| 72
| 72
| 0.885714
| 0
| 0
| 0
| 0
| 0
| 0.671233
| 0.671233
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
37e7b4c46567e0f9a65247ea19a4c10550eebfb1
| 232
|
py
|
Python
|
blog/admin.py
|
SenJames/Car-Listing
|
01c51e616d60fb8f200f9f2b9891de0f2b3d5bd9
|
[
"MIT"
] | null | null | null |
blog/admin.py
|
SenJames/Car-Listing
|
01c51e616d60fb8f200f9f2b9891de0f2b3d5bd9
|
[
"MIT"
] | null | null | null |
blog/admin.py
|
SenJames/Car-Listing
|
01c51e616d60fb8f200f9f2b9891de0f2b3d5bd9
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from blog.models import Author, Category, Comment, Post
# Register your models here.
admin.site.register(Author)
admin.site.register(Category)
admin.site.register(Comment)
admin.site.register(Post)
| 25.777778
| 55
| 0.810345
| 33
| 232
| 5.69697
| 0.454545
| 0.191489
| 0.361702
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.090517
| 232
| 9
| 56
| 25.777778
| 0.890995
| 0.112069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 0
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
37f05fcb24b2c97d2374125a121d3d03f8ae6b66
| 188
|
py
|
Python
|
source/functions/netstat.py
|
Kung-327/CampusCyberInspectionTool2021
|
2ff64a18d750ff48ba6091bd1bf5d59bcaefa88b
|
[
"MIT"
] | 2
|
2021-03-28T02:32:09.000Z
|
2021-03-28T04:07:54.000Z
|
source/functions/netstat.py
|
Kung-327/CampusCyberInspectionTool2021
|
2ff64a18d750ff48ba6091bd1bf5d59bcaefa88b
|
[
"MIT"
] | 27
|
2021-03-22T12:42:28.000Z
|
2021-04-14T14:37:42.000Z
|
source/functions/netstat.py
|
Kung-327/CampusCyberInspectionTool2021
|
2ff64a18d750ff48ba6091bd1bf5d59bcaefa88b
|
[
"MIT"
] | 19
|
2021-03-22T12:21:01.000Z
|
2021-03-31T22:06:49.000Z
|
from FuncBase import FuncBase
import os
class Netstat():
@property
def Description(self):
return('Netstat')
def Run(self):
return os.system('netstat -ano')
| 14.461538
| 40
| 0.632979
| 22
| 188
| 5.409091
| 0.636364
| 0.235294
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.260638
| 188
| 12
| 41
| 15.666667
| 0.856115
| 0
| 0
| 0
| 0
| 0
| 0.101064
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 0.75
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
530cbb175c44aa19c316fcc8b604044a3ca809b3
| 502
|
py
|
Python
|
HW5/linreg.py
|
miguel-mzbi/MachineLearning-DataMining
|
d589e89c85ccc7cba129c9a489c49f61a4298c5d
|
[
"MIT"
] | null | null | null |
HW5/linreg.py
|
miguel-mzbi/MachineLearning-DataMining
|
d589e89c85ccc7cba129c9a489c49f61a4298c5d
|
[
"MIT"
] | null | null | null |
HW5/linreg.py
|
miguel-mzbi/MachineLearning-DataMining
|
d589e89c85ccc7cba129c9a489c49f61a4298c5d
|
[
"MIT"
] | null | null | null |
import numpy as np
import numpy.linalg as la
# Input: numpy matrix X of features, with n rows (samples), d columns (features)
# X[i,j] is the j-th feature of the i-th sample
# numpy vector y of scalar values, with n rows (samples), 1 column
# y[i] is the scalar value of the i-th sample
# Output: numpy vector theta, with d rows, 1 column
# Example on how to call the function:
# import linreg
# theta = linreg.run(X,y)
def run(X,y):
return np.dot(la.pinv(X),y)
| 41.833333
| 80
| 0.657371
| 92
| 502
| 3.586957
| 0.48913
| 0.018182
| 0.054545
| 0.09697
| 0.084848
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005291
| 0.247012
| 502
| 12
| 81
| 41.833333
| 0.867725
| 0.786853
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.5
| 0.25
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
72622a6b8ad2c47d369b4bad4e3efe752353d6db
| 18
|
py
|
Python
|
tb_lattice_viewer/__init__.py
|
kmkolasinski/tb-lattice-viewer
|
b25eb7f3ad7515a3f0f6a7da953289d96e506b6e
|
[
"MIT"
] | 6
|
2020-08-25T17:32:40.000Z
|
2022-01-30T16:39:34.000Z
|
tb_lattice_viewer/__init__.py
|
kmkolasinski/tb-lattice-viewer
|
b25eb7f3ad7515a3f0f6a7da953289d96e506b6e
|
[
"MIT"
] | 2
|
2018-06-23T11:10:57.000Z
|
2018-07-01T11:34:19.000Z
|
tb_lattice_viewer/__init__.py
|
kmkolasinski/tb-lattice-viewer
|
b25eb7f3ad7515a3f0f6a7da953289d96e506b6e
|
[
"MIT"
] | 2
|
2021-01-02T12:59:27.000Z
|
2021-10-30T10:29:52.000Z
|
__version__ = 1.0
| 9
| 17
| 0.722222
| 3
| 18
| 3
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133333
| 0.166667
| 18
| 1
| 18
| 18
| 0.466667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
72694a364a6b13e24941075947d46487d9ce79c5
| 435
|
py
|
Python
|
pymerit/tests/test_basic.py
|
pingali/pymerit
|
37e5183c9a5b90485d620f803b7ea1159cc8c0e0
|
[
"MIT"
] | 1
|
2019-01-04T04:53:36.000Z
|
2019-01-04T04:53:36.000Z
|
pymerit/tests/test_basic.py
|
pingali/pymerit
|
37e5183c9a5b90485d620f803b7ea1159cc8c0e0
|
[
"MIT"
] | null | null | null |
pymerit/tests/test_basic.py
|
pingali/pymerit
|
37e5183c9a5b90485d620f803b7ea1159cc8c0e0
|
[
"MIT"
] | null | null | null |
import pytest
import pymerit
def test_non_existent():
"""
Test non-existent schema handler
"""
with pytest.raises(pymerit.MeritNoHandler) as exc:
pymerit.find_handler("hello")
def test_existent():
"""
Testing default metadata
"""
assert pymerit.find_handler("global:default:v1") is not None
assert pymerit.find_handler("global:default:v1") == pymerit.MeritDefault
| 20.714286
| 76
| 0.655172
| 49
| 435
| 5.693878
| 0.530612
| 0.11828
| 0.193548
| 0.172043
| 0.27957
| 0.27957
| 0.27957
| 0
| 0
| 0
| 0
| 0.006042
| 0.23908
| 435
| 20
| 77
| 21.75
| 0.836858
| 0.131034
| 0
| 0
| 0
| 0
| 0.112392
| 0
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.25
| true
| 0
| 0.25
| 0
| 0.5
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
726e9ee27ef9a6fc6cc046a4c19257937800cbe9
| 246
|
py
|
Python
|
commmons/__init__.py
|
jaeseopark/commmons
|
fef41287c2e39873fab58c1a246d4317e9b19907
|
[
"MIT"
] | null | null | null |
commmons/__init__.py
|
jaeseopark/commmons
|
fef41287c2e39873fab58c1a246d4317e9b19907
|
[
"MIT"
] | null | null | null |
commmons/__init__.py
|
jaeseopark/commmons
|
fef41287c2e39873fab58c1a246d4317e9b19907
|
[
"MIT"
] | null | null | null |
from pydash import *
from .array import *
from .clock import *
from .fs import *
from .hash import *
from .html import *
from .log import *
from .string import *
from .url import *
from .zip import *
from .dictionary import *
from .func import *
| 18.923077
| 25
| 0.711382
| 36
| 246
| 4.861111
| 0.388889
| 0.628571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.195122
| 246
| 12
| 26
| 20.5
| 0.883838
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
72779203f75dfb9c363cca0470cdf9817d9a3d8b
| 132
|
py
|
Python
|
greenline_app/admin.py
|
manishwins/Greenline
|
28085358eb6d8e500075067747f242e457117c44
|
[
"Apache-2.0"
] | null | null | null |
greenline_app/admin.py
|
manishwins/Greenline
|
28085358eb6d8e500075067747f242e457117c44
|
[
"Apache-2.0"
] | null | null | null |
greenline_app/admin.py
|
manishwins/Greenline
|
28085358eb6d8e500075067747f242e457117c44
|
[
"Apache-2.0"
] | null | null | null |
from django.contrib import admin
from .models import (
ContactUs,
)
# Register your models here.
admin.site.register(ContactUs)
| 13.2
| 32
| 0.765152
| 17
| 132
| 5.941176
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151515
| 132
| 9
| 33
| 14.666667
| 0.901786
| 0.19697
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.4
| 0
| 0.4
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
7295eb131f8cbb70f9603d8f740a25edfe774675
| 92
|
py
|
Python
|
days/03/01_basics.py
|
carlohcs/100-days-of-code-python-pro-bootcamp-for-2022
|
f7467fd1d373ee003b35511e7c14595b1108cfe9
|
[
"MIT"
] | null | null | null |
days/03/01_basics.py
|
carlohcs/100-days-of-code-python-pro-bootcamp-for-2022
|
f7467fd1d373ee003b35511e7c14595b1108cfe9
|
[
"MIT"
] | null | null | null |
days/03/01_basics.py
|
carlohcs/100-days-of-code-python-pro-bootcamp-for-2022
|
f7467fd1d373ee003b35511e7c14595b1108cfe9
|
[
"MIT"
] | null | null | null |
# Convert to str
number = 18
number_string = str(number)
print(type(number_string)) # 'str'
| 18.4
| 34
| 0.728261
| 14
| 92
| 4.642857
| 0.571429
| 0.276923
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025316
| 0.141304
| 92
| 5
| 34
| 18.4
| 0.797468
| 0.217391
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
72bdbd5a0543a1e34b8c65f221d8b91ecb8fdd2e
| 4,477
|
py
|
Python
|
Lib/site-packages/win32com/servers/test_pycomtest.py
|
raychorn/svn_Python-2.5.1
|
425005b1b489ba44ec0bb989e077297e8953d9be
|
[
"PSF-2.0"
] | null | null | null |
Lib/site-packages/win32com/servers/test_pycomtest.py
|
raychorn/svn_Python-2.5.1
|
425005b1b489ba44ec0bb989e077297e8953d9be
|
[
"PSF-2.0"
] | null | null | null |
Lib/site-packages/win32com/servers/test_pycomtest.py
|
raychorn/svn_Python-2.5.1
|
425005b1b489ba44ec0bb989e077297e8953d9be
|
[
"PSF-2.0"
] | null | null | null |
# This is part of the Python test suite.
# The object is registered when you first run the test suite.
# (and hopefully unregistered once done ;-)
# Ensure the vtables in the tlb are known.
from win32com import universal
from win32com.server.exception import COMException
from win32com.client import gencache
import winerror
from win32com.client import constants
from win32com.server.util import wrap
import pythoncom
pythoncom.__future_currency__ = True
# We use the constants from the module, so must insist on a gencache.
# Otherwise, use of gencache is not necessary (tho still advised)
gencache.EnsureModule('{6BCDCB60-5605-11D0-AE5F-CADD4C000000}', 0, 1, 1)
class PyCOMTest:
_typelib_guid_ = "{6BCDCB60-5605-11D0-AE5F-CADD4C000000}"
_typelib_version = 1,0
_com_interfaces_ = ['IPyCOMTest']
_reg_clsid_ = "{e743d9cd-cb03-4b04-b516-11d3a81c1597}"
_reg_progid_ = "Python.Test.PyCOMTest"
def DoubleString(self, str):
return str*2
def DoubleInOutString(self, str):
return str*2
def Fire(self, nID):
raise COMException(hresult=winerror.E_NOTIMPL)
def GetLastVarArgs(self):
raise COMException(hresult=winerror.E_NOTIMPL)
def GetMultipleInterfaces(self, outinterface1, outinterface2):
raise COMException(hresult=winerror.E_NOTIMPL)
def GetSafeArrays(self, attrs, attrs2, ints):
raise COMException(hresult=winerror.E_NOTIMPL)
def GetSetDispatch(self, indisp):
raise COMException(hresult=winerror.E_NOTIMPL)
# Result is of type IPyCOMTest
def GetSetInterface(self, ininterface):
return wrap(self)
def GetSetVariant(self, indisp):
return indisp
def TestByRefVariant(self, v):
return v * 2
def TestByRefString(self, v):
return v * 2
# Result is of type IPyCOMTest
def GetSetInterfaceArray(self, ininterface):
raise COMException(hresult=winerror.E_NOTIMPL)
def GetSetUnknown(self, inunk):
raise COMException(hresult=winerror.E_NOTIMPL)
# Result is of type ISimpleCounter
def GetSimpleCounter(self):
raise COMException(hresult=winerror.E_NOTIMPL)
def GetSimpleSafeArray(self, ints):
raise COMException(hresult=winerror.E_NOTIMPL)
def GetStruct(self):
raise COMException(hresult=winerror.E_NOTIMPL)
def SetIntSafeArray(self, ints):
return len(ints)
def SetVarArgs(self, *args):
raise COMException(hresult=winerror.E_NOTIMPL)
def SetVariantSafeArray(self, vars):
raise COMException(hresult=winerror.E_NOTIMPL)
def Start(self):
raise COMException(hresult=winerror.E_NOTIMPL)
def Stop(self, nID):
raise COMException(hresult=winerror.E_NOTIMPL)
def StopAll(self):
raise COMException(hresult=winerror.E_NOTIMPL)
def TakeByRefDispatch(self, inout):
raise COMException(hresult=winerror.E_NOTIMPL)
def TakeByRefTypedDispatch(self, inout):
raise COMException(hresult=winerror.E_NOTIMPL)
def Test(self, key, inval):
return not inval
def Test2(self, inval):
return inval
def Test3(self, inval):
raise COMException(hresult=winerror.E_NOTIMPL)
def Test4(self, inval):
raise COMException(hresult=winerror.E_NOTIMPL)
def Test5(self, inout):
if inout == constants.TestAttr1:
return constants.TestAttr1_1
elif inout == constants.TestAttr1_1:
return constants.TestAttr1
else:
return -1
def TestOptionals(self, strArg='def', sval=0, lval=1, dval=3.1400001049041748):
raise COMException(hresult=winerror.E_NOTIMPL)
def TestOptionals2(self, dval, strval='', sval=1):
raise COMException(hresult=winerror.E_NOTIMPL)
def CheckVariantSafeArray(self, data):
return 1
def LongProp(self):
return self.longval
def SetLongProp(self, val):
self.longval = val
def ULongProp(self):
return self.ulongval
def SetULongProp(self, val):
self.ulongval = val
def IntProp(self):
return self.intval
def SetIntProp(self, val):
self.intval = val
class PyCOMTestMI(PyCOMTest):
_typelib_guid_ = "{6BCDCB60-5605-11D0-AE5F-CADD4C000000}"
_typelib_version = 1,0
# Interfaces with a interface name, a real IID, and an IID as a string
_com_interfaces_ = ['IPyCOMTest',
pythoncom.IID_IStream,
str(pythoncom.IID_IStorage),
]
_reg_clsid_ = "{F506E9A1-FB46-4238-A597-FA4EB69787CA}"
_reg_progid_ = "Python.Test.PyCOMTestMI"
if __name__ == '__main__':
import win32com.server.register
win32com.server.register.UseCommandLine(PyCOMTest)
win32com.server.register.UseCommandLine(PyCOMTestMI)
| 28.515924
| 81
| 0.743132
| 558
| 4,477
| 5.844086
| 0.322581
| 0.109476
| 0.154554
| 0.206072
| 0.391598
| 0.373812
| 0.349279
| 0.270163
| 0.169273
| 0.074824
| 0
| 0.042257
| 0.164843
| 4,477
| 156
| 82
| 28.698718
| 0.829901
| 0.105651
| 0
| 0.266055
| 0
| 0
| 0.069064
| 0.060985
| 0
| 0
| 0
| 0
| 0
| 1
| 0.348624
| false
| 0
| 0.073395
| 0.119266
| 0.678899
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
72cb2f686f08cd516e3c5500b3b7d1f49291df47
| 190
|
py
|
Python
|
mmaction/datasets/samplers/__init__.py
|
kiyoon/Video-Swin-Transformer
|
7a0d40ced8fb52c064d1cd11ffa8b0c3bbb77607
|
[
"Apache-2.0"
] | 648
|
2021-06-24T19:33:09.000Z
|
2022-03-31T06:27:24.000Z
|
mmaction/datasets/samplers/__init__.py
|
jayleicn/mmaction2-1
|
0a6fde1abb8403f1f68b568f5b4694c6f828e27e
|
[
"Apache-2.0"
] | 53
|
2021-07-01T03:07:52.000Z
|
2022-03-27T16:15:29.000Z
|
mmaction/datasets/samplers/__init__.py
|
jayleicn/mmaction2-1
|
0a6fde1abb8403f1f68b568f5b4694c6f828e27e
|
[
"Apache-2.0"
] | 117
|
2021-06-25T01:22:32.000Z
|
2022-03-31T08:33:55.000Z
|
from .distributed_sampler import (ClassSpecificDistributedSampler,
DistributedSampler)
__all__ = ['DistributedSampler', 'ClassSpecificDistributedSampler']
| 38
| 67
| 0.705263
| 9
| 190
| 14.333333
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.231579
| 190
| 4
| 68
| 47.5
| 0.883562
| 0
| 0
| 0
| 0
| 0
| 0.257895
| 0.163158
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
72cd6d392303a675f107a6efda32b3a0e2442915
| 306
|
py
|
Python
|
core/basestore.py
|
miguelvm/PyTrendFollow
|
439232aed4d67ccf339e782b7c8b96f2dd961d43
|
[
"MIT"
] | 158
|
2018-02-28T05:05:38.000Z
|
2022-03-31T21:02:01.000Z
|
core/basestore.py
|
miguelvm/PyTrendFollow
|
439232aed4d67ccf339e782b7c8b96f2dd961d43
|
[
"MIT"
] | 23
|
2018-03-12T20:16:35.000Z
|
2021-09-03T09:02:31.000Z
|
core/basestore.py
|
miguelvm/PyTrendFollow
|
439232aed4d67ccf339e782b7c8b96f2dd961d43
|
[
"MIT"
] | 54
|
2018-03-16T02:41:09.000Z
|
2021-10-09T14:52:54.000Z
|
from config.settings import quotes_storage
"""
This file imports data read/write methods for a local storage depending on the user's choice.
These methods are used in core.contract_store.
"""
if quotes_storage == 'hdf5':
from core.hdfstore import read_symbol, read_contract, write_data, drop_symbol
| 34
| 93
| 0.784314
| 47
| 306
| 4.957447
| 0.723404
| 0.111588
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003831
| 0.147059
| 306
| 9
| 94
| 34
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0.025478
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
72d91b6bd34dab27e2e5ad5677e6d290771c200d
| 969
|
py
|
Python
|
itchymws/utils.py
|
albertoconnor/itchymws
|
1d6c46ad3579cfff86e48668fb99a8ee7b5c1e96
|
[
"MIT"
] | null | null | null |
itchymws/utils.py
|
albertoconnor/itchymws
|
1d6c46ad3579cfff86e48668fb99a8ee7b5c1e96
|
[
"MIT"
] | null | null | null |
itchymws/utils.py
|
albertoconnor/itchymws
|
1d6c46ad3579cfff86e48668fb99a8ee7b5c1e96
|
[
"MIT"
] | null | null | null |
import hashlib
import hmac
import base64
from time import strftime, gmtime
from datetime import datetime
from dateutil import parser
def calculate_signature(request, secret):
"""
base64 encode the hmac of the AWS_SECRET_ACCESS_KEY with the signature data.
The siguature data looks like this:
POST
mws.amazonservices.com
/Products/2011-10-01
AWSAccessKeyId=KEY&Action=GetServiceStatus&SellerId=SELLERID&SignatureMethod=HmacSHA256&SignatureVersion=2&Timestamp=2013-01-04T03%3A13%3A24Z&Version=2011-10-01
request should be a list containing strings that represent each line above
"""
key = "\n".join(request).encode('utf-8')
signature = hmac.new(secret.encode('utf-8'), key, hashlib.sha256).digest()
return base64.b64encode(signature)
def timestamp():
return timeformat(gmtime())
def timeformat(t):
return strftime("%Y-%m-%dT%H:%M:%SZ", t)
def parsetime(time_string):
return parser.parse(time_string)
| 26.189189
| 164
| 0.739938
| 132
| 969
| 5.386364
| 0.606061
| 0.016878
| 0.022504
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.059902
| 0.155831
| 969
| 36
| 165
| 26.916667
| 0.809291
| 0.412797
| 0
| 0
| 0
| 0
| 0.056711
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.375
| 0.1875
| 0.875
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
f4539897032b3a442d18aaf152575488847266d7
| 1,458
|
py
|
Python
|
lapis/utilities/cache_cleanup_implementations.py
|
MatterMiners/lapis.caching
|
f03de0a174542a38e17fca1a9a5f44b09009444c
|
[
"MIT"
] | null | null | null |
lapis/utilities/cache_cleanup_implementations.py
|
MatterMiners/lapis.caching
|
f03de0a174542a38e17fca1a9a5f44b09009444c
|
[
"MIT"
] | 28
|
2020-10-20T09:45:43.000Z
|
2021-06-23T05:47:38.000Z
|
lapis/utilities/cache_cleanup_implementations.py
|
MatterMiners/lapis.caching
|
f03de0a174542a38e17fca1a9a5f44b09009444c
|
[
"MIT"
] | null | null | null |
from typing import List, Iterable
from lapis.caching.files import StoredFile
def sort_files_by_cachedsince(stored_files: Iterable[StoredFile]) -> List[StoredFile]:
return sorted(stored_files, key=lambda x: x.cachedsince)
# async def fifo(size, storage):
# print("hit fifo")
# print(storage.files.keys())
# # FIFO, test different implementations
# sorted_content = sorted(
# list(storage.files.items()), key=lambda x: x.filespecs.cachedsince
# )
# print("sorted", sorted_content)
# while size < 0:
# print("hit while")
# size += sorted_content[0][1]["cachedsizeMB"]
# storage.files.pop(sorted_content[0][0])
# await sleep(storage.placement_duration)
# await storage._usedstorage.decrease(
# **{"usedsize": sorted_content[0][1]["cachedsizeMB"]})
# print(storage.usedstorage)
# sorted_content.pop(0)
# print("after fifo ", storage.files.keys())
#
#
# def last_accessed(size, storage):
# # FIFO, test different implementations
# sorted_content = sorted(
# list(storage.content.items()), key=lambda x: x[1]["lastaccessed"]
# )
# while size < 0:
# size += sorted_content[0][1]["cachedsizeMB"]
# storage.content.pop(sorted_content[0][0])
# storage.usedstorage -= sorted_content[0][1]["cachedsizeMB"]
# sorted_content.pop(0)
#
#
# cache_cleanup = {"fifo": fifo, "lastaccessed": last_accessed}
| 33.906977
| 86
| 0.644033
| 167
| 1,458
| 5.497006
| 0.299401
| 0.155773
| 0.091503
| 0.065359
| 0.350763
| 0.217865
| 0.217865
| 0.135076
| 0.135076
| 0
| 0
| 0.014719
| 0.207819
| 1,458
| 42
| 87
| 34.714286
| 0.780087
| 0.794925
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.5
| 0.25
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 4
|
f4850be4e401b906f730dfeae51178ee257dfd7f
| 6,125
|
py
|
Python
|
Merged_Steps/complex_topol.py
|
lbfederico/gmx_scripts
|
c6c6faee2671c2612f69cc973e330836218692d5
|
[
"MIT"
] | 2
|
2020-12-30T16:42:55.000Z
|
2021-05-22T01:06:59.000Z
|
Merged_Steps/complex_topol.py
|
lbfederico/gmx_scripts
|
c6c6faee2671c2612f69cc973e330836218692d5
|
[
"MIT"
] | null | null | null |
Merged_Steps/complex_topol.py
|
lbfederico/gmx_scripts
|
c6c6faee2671c2612f69cc973e330836218692d5
|
[
"MIT"
] | 1
|
2021-05-22T01:07:00.000Z
|
2021-05-22T01:07:00.000Z
|
import sys
import argparse
import textwrap
#Função para encontrar numero da linha que contém o argumemnto desejado
def get_line(txt):
file = open('topol.top', encoding='utf8')
for line_num, value in enumerate(file, 1): #le todas as linhas e valores do file começando como 1
if txt in value: #qdo encontra o 'txt' retorna o valor da linha
return line_num
if len(sys.argv) == 2 and sys.argv[1] == '-h':
parser = argparse.ArgumentParser(formatter_class=argparse.RawDescriptionHelpFormatter,
description=textwrap.dedent('''\
Este script deve ser rodado no diretorio em analise
Ele cria o arquivo complex.gro e faz as adequações ao topol.top
Usado para proteina e ligante ou proteina ligante e cofator
sintaxe -> python3.9 complex.py prot_name lig_name cof_name
as extensoes DEVEM ser adicionadas ao comando
'''))
args = parser.parse_args()
else:
print('ERRO! em duvida acesse -h para help')
if len(sys.argv) > 4:
print('ERROR: Please put protein ligand and cofactor names or -h for help. ')
#-----------------------------------------------------------------------------------------------------
elif len(sys.argv) == 3:
prot = sys.argv[1]
lig = sys.argv[2]
lig2 = lig.rsplit('.', 1)[0]
# Abre arquivo e lê prot
file = open(str(prot), 'r')
prot = file.readlines()
# Criar complex, parte1 -> prot sem box vector (only_prot)
file = open('complex.gro', 'a+')
only_prot = prot[2:-1]
file.writelines([item for item in only_prot])
box_vector = prot[-1]
file.close()
# incluir ligante sem cabeçalho nem box vector -> incluir box vector
# Abre arquivo e lê lig e complex
file = open(str(lig), 'r')
lig = file.readlines()
lig_only = lig[2:-1]
file = open('complex.gro', 'a+')
file.writelines([item for item in lig_only])
file.writelines([item for item in box_vector])
file.close()
# Verificar o numero de linhas (cont) e a linha2 - como esta sem cabeçalho o numero de moleculas é cont -1
file = open('complex.gro', 'r')
line = file.readlines()
cont = len(line)
file.close()
# Substituir o numero de linhas e o nome inicial
file = open('complex.gro', 'w')
file.write('complex' + '\n')
file.write(str(cont - 1) + '\n')
file = open('complex.gro', 'a')
file.writelines(line)
file.close()
#--------------------------------------------------------------------------------------------
x = str('#include "./charmm36-mar2019.ff/forcefield.itp"')
y = str('; Include Position restraint file')
z = str('#mols')
file = open('topol.top', 'r+', encoding='utf8')
line = file.readlines()
line.insert(get_line(x), f'\n; Include ligand parameters\n#include "{lig2}.prm"\n')
file.seek(0)
file.writelines(line)
file = open('topol.top', 'r+', encoding='utf8')
line = file.readlines()
line.insert(get_line(y) + 4, f'; Include ligand topology\n#include "{lig2}.itp"\n\n')
file.seek(0)
file.writelines(line)
file = open('topol.top', 'r+', encoding='utf8')
line = file.readlines()
line.insert(get_line(z) + 2, f'\n{lig2} 1\n')
file.seek(0)
file.writelines(line)
#---------------------------------------------------------------------------------------------
elif len(sys.argv) == 4:
prot = sys.argv[1]
lig = sys.argv[2]
cof = sys.argv[3]
lig2 = lig.rsplit('.', 1)[0]
cof2 = cof.rsplit('.', 1)[0]
# Abre arquivo e lê prot
file = open(str(prot), 'r')
prot = file.readlines()
#Criar complex, parte1 -> prot sem box vector (only_prot)
file = open('complex.gro', 'a+')
only_prot = prot[2:-1]
file.writelines([item for item in only_prot])
box_vector = prot[-1]
file.close()
#incluir ligante sem cabeçalho nem box vector -> incluir box vector
#Abre arquivo e lê lig e complex
file = open(str(lig), 'r')
lig = file.readlines()
lig_only = lig[2:-1]
file = open(str(cof), 'r')
cof = file.readlines()
cof_only = cof[2:-1]
file = open('complex.gro', 'a+')
file.writelines([item for item in lig_only])
file.writelines([item for item in cof_only])
file.writelines([item for item in box_vector])
file.close()
#Verificar o numero de linhas (cont) e a linha2 - como esta sem cabeçalho o numero de moleculas é cont -1
file = open('complex.gro', 'r')
line = file.readlines()
cont = len(line)
file.close()
#Substituir o numero de linhas e o nome inicial
file = open('complex.gro', 'w')
file.write('complex' + '\n')
file.write(str(cont -1)+ '\n')
file = open('complex.gro', 'a')
file.writelines(line)
file.close()
#-----------------------------------------------------------------
x = str('#include "./charmm36-mar2019.ff/forcefield.itp"')
y = str('; Include Position restraint file')
z = str('#mols')
# Abrir o topol.top -> Ler as linhas a add o argumento .prm
file = open('topol.top', 'r+', encoding='utf8')
line = file.readlines()
line.insert(get_line(x), f'\n; Include ligand parameters\n#include "{lig2}.prm"\n#include "{cof2}.prm"\n')
file.seek(0)
file.writelines(line)
# Abrir o topol.top -> Ler as linhas a add o argumento .itp
file = open('topol.top', 'r+', encoding='utf8')
line = file.readlines()
line.insert(get_line(y) + 4, f'; Include ligand topology\n#include "{lig2}.itp"\n#include "{cof2}.itp"\n\n')
file.seek(0)
file.writelines(line)
# Abrir o topol.top -> Ler as linhas a add o argumento numero de moleculas finais
file = open('topol.top', 'r+', encoding='utf8')
line = file.readlines()
line.insert(get_line(z) + 2, f'\n{lig2} 1\n{cof2} 1\n')
file.seek(0)
file.writelines(line)
| 33.108108
| 112
| 0.558204
| 825
| 6,125
| 4.107879
| 0.204848
| 0.051933
| 0.044261
| 0.053113
| 0.7365
| 0.730009
| 0.730009
| 0.730009
| 0.699026
| 0.697846
| 0
| 0.018317
| 0.251265
| 6,125
| 184
| 113
| 33.288043
| 0.720672
| 0.224
| 0
| 0.7
| 0
| 0.016667
| 0.297612
| 0.025365
| 0
| 0
| 0
| 0
| 0
| 1
| 0.008333
| false
| 0
| 0.025
| 0
| 0.041667
| 0.016667
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
f487a2bc86d5e618d190c36ba7d9e97598836bfc
| 34
|
py
|
Python
|
com_blacktensor/cop/news/covid/model/covid_news_ai.py
|
Jelly6489/Stock-Proj
|
3e7b1ad5cddc5b142f0069e024199fe969c7c7e8
|
[
"MIT"
] | null | null | null |
com_blacktensor/cop/news/covid/model/covid_news_ai.py
|
Jelly6489/Stock-Proj
|
3e7b1ad5cddc5b142f0069e024199fe969c7c7e8
|
[
"MIT"
] | null | null | null |
com_blacktensor/cop/news/covid/model/covid_news_ai.py
|
Jelly6489/Stock-Proj
|
3e7b1ad5cddc5b142f0069e024199fe969c7c7e8
|
[
"MIT"
] | 2
|
2020-11-13T08:11:04.000Z
|
2020-11-14T05:32:09.000Z
|
class CovidNewsAi(object):
...
| 17
| 26
| 0.647059
| 3
| 34
| 7.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176471
| 34
| 2
| 27
| 17
| 0.785714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
be3dfb92fdeead46fe39a674a5f7b522ae89245e
| 112
|
py
|
Python
|
201504/silsp4.py
|
conlee82/pythonstudy
|
c71bdd6404c0105a812043368f17b993a9d8a7c9
|
[
"Apache-2.0"
] | null | null | null |
201504/silsp4.py
|
conlee82/pythonstudy
|
c71bdd6404c0105a812043368f17b993a9d8a7c9
|
[
"Apache-2.0"
] | null | null | null |
201504/silsp4.py
|
conlee82/pythonstudy
|
c71bdd6404c0105a812043368f17b993a9d8a7c9
|
[
"Apache-2.0"
] | null | null | null |
i=2
while i < 10:
j=1
while j < 10:
print(i,"*",j,"=",i*j)
j += 1
i += 1
| 14
| 31
| 0.294643
| 19
| 112
| 1.736842
| 0.368421
| 0.121212
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0.5
| 112
| 8
| 32
| 14
| 0.446429
| 0
| 0
| 0
| 0
| 0
| 0.018868
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.142857
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
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